Skill Quality Report — 2026-06-17

[github-actions[bot]]

Skill Quality Report — 2026-06-17

359 skills and 217 agents scanned.

Severity	Count
⛔ Errors	358
⚠️ Warnings	321
ℹ️ Advisories	0

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Note: Detailed output is posted in the comments below (too large for the discussion body).

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Generated by the Skill Validator nightly scan.

[github-actions[bot]]

Skills (part 1)

Found 359 skill(s)
[salesforce-flow-design] 📊 salesforce-flow-design: 1,491 BPE tokens [chars/4: 1,740] (detailed ✓), 15 sections, 5 code blocks
[salesforce-flow-design]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[javax-to-jakarta-migration] 📊 javax-to-jakarta-migration: 665 BPE tokens [chars/4: 626] (detailed ✓), 9 sections, 2 code blocks
[content-management-systems] 📊 content-management-systems: 1,040 BPE tokens [chars/4: 1,324] (detailed ✓), 13 sections, 0 code blocks
[content-management-systems]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-plan] 📊 breakdown-plan: 3,504 BPE tokens [chars/4: 3,763] (standard ~), 68 sections, 9 code blocks
[breakdown-plan]    ⚠  Skill is 3,504 BPE tokens (chars/4 estimate: 3,763) — approaching "comprehensive" range where gains diminish.
[security-review] 📊 security-review: 2,043 BPE tokens [chars/4: 2,259] (detailed ✓), 15 sections, 0 code blocks
[security-review]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[kotlin-springboot] 📊 kotlin-springboot: 956 BPE tokens [chars/4: 1,102] (detailed ✓), 10 sections, 1 code blocks
[kotlin-springboot]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[aws-resource-query] 📊 aws-resource-query: 5,900 BPE tokens [chars/4: 5,521] (comprehensive ✗), 154 sections, 23 code blocks
[aws-resource-query]    ⚠  Skill is 5,900 BPE tokens (chars/4 estimate: 5,521) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[impediment-prioritization] 📊 impediment-prioritization: 2,249 BPE tokens [chars/4: 2,256] (detailed ✓), 11 sections, 2 code blocks
[power-platform-architect] 📊 power-platform-architect: 3,104 BPE tokens [chars/4: 3,609] (standard ~), 12 sections, 1 code blocks
[power-platform-architect]    ⚠  Skill is 3,104 BPE tokens (chars/4 estimate: 3,609) — approaching "comprehensive" range where gains diminish.
[architecture-blueprint-generator] 📊 architecture-blueprint-generator: 2,519 BPE tokens [chars/4: 3,340] (standard ~), 18 sections, 0 code blocks
[architecture-blueprint-generator]    ⚠  Skill is 2,519 BPE tokens (chars/4 estimate: 3,340) — approaching "comprehensive" range where gains diminish.
[architecture-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[architecture-blueprint-generator]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[mcp-create-declarative-agent] 📊 mcp-create-declarative-agent: 1,978 BPE tokens [chars/4: 2,036] (detailed ✓), 30 sections, 12 code blocks
[diagnose] 📊 diagnose: 983 BPE tokens [chars/4: 1,005] (detailed ✓), 9 sections, 1 code blocks
[ssma-console] 📊 ssma-console: 1,749 BPE tokens [chars/4: 1,784] (detailed ✓), 10 sections, 5 code blocks
[playwright-generate-test] 📊 playwright-generate-test: 178 BPE tokens [chars/4: 220] (compact ✓), 2 sections, 0 code blocks
[playwright-generate-test]    ⚠  Skill is only 178 BPE tokens (chars/4 estimate: 220) — may be too sparse to provide actionable guidance.
[playwright-generate-test]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[playwright-generate-test]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[mvvm-toolkit] 📊 mvvm-toolkit: 2,553 BPE tokens [chars/4: 2,696] (standard ~), 14 sections, 9 code blocks
[mvvm-toolkit]    ⚠  Skill is 2,553 BPE tokens (chars/4 estimate: 2,696) — approaching "comprehensive" range where gains diminish.
[create-github-issues-feature-from-implementation-plan] 📊 create-github-issues-feature-from-implementation-plan: 191 BPE tokens [chars/4: 237] (compact ✓), 4 sections, 0 code blocks
[create-github-issues-feature-from-implementation-plan]    ⚠  Skill is only 191 BPE tokens (chars/4 estimate: 237) — may be too sparse to provide actionable guidance.
[create-github-issues-feature-from-implementation-plan]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[update-specification] 📊 update-specification: 1,175 BPE tokens [chars/4: 1,404] (detailed ✓), 20 sections, 2 code blocks
�[31m❌ [update-specification] File reference '/spec/' uses an absolute (repo-rooted) path — references must be relative to the skill directory.�[0m
[update-specification]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[qdrant-search-quality] 📊 qdrant-search-quality: 303 BPE tokens [chars/4: 336] (compact ✓), 3 sections, 0 code blocks
[qdrant-search-quality]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-search-quality]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[batch-files] 📊 batch-files: 4,639 BPE tokens [chars/4: 4,310] (standard ~), 47 sections, 22 code blocks
[batch-files]    ⚠  Skill is 4,639 BPE tokens (chars/4 estimate: 4,310) — approaching "comprehensive" range where gains diminish.
[git-commit] 📊 git-commit: 747 BPE tokens [chars/4: 800] (detailed ✓), 22 sections, 5 code blocks
[git-commit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-tldr-page] 📊 create-tldr-page: 1,546 BPE tokens [chars/4: 1,583] (detailed ✓), 19 sections, 8 code blocks
[x-twitter-scraper] 📊 x-twitter-scraper: 836 BPE tokens [chars/4: 995] (detailed ✓), 8 sections, 0 code blocks
[x-twitter-scraper]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[web-design-reviewer] 📊 web-design-reviewer: 2,454 BPE tokens [chars/4: 2,610] (detailed ✓), 50 sections, 7 code blocks
[dotnet-timezone] 📊 dotnet-timezone: 840 BPE tokens [chars/4: 976] (detailed ✓), 8 sections, 2 code blocks
[gtm-operating-cadence] 📊 gtm-operating-cadence: 3,798 BPE tokens [chars/4: 4,003] (standard ~), 16 sections, 4 code blocks
[gtm-operating-cadence]    ⚠  Skill is 3,798 BPE tokens (chars/4 estimate: 4,003) — approaching "comprehensive" range where gains diminish.
[lsp-setup] 📊 lsp-setup: 961 BPE tokens [chars/4: 996] (detailed ✓), 6 sections, 1 code blocks
[acreadiness-assess] 📊 acreadiness-assess: 808 BPE tokens [chars/4: 839] (detailed ✓), 3 sections, 1 code blocks
[ai-prompt-engineering-safety-review] 📊 ai-prompt-engineering-safety-review: 2,185 BPE tokens [chars/4: 2,540] (detailed ✓), 19 sections, 0 code blocks
[ai-prompt-engineering-safety-review]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[pr-screenshots] 📊 pr-screenshots: 1,120 BPE tokens [chars/4: 1,220] (detailed ✓), 13 sections, 5 code blocks
[breakdown-epic-pm] 📊 breakdown-epic-pm: 509 BPE tokens [chars/4: 575] (detailed ✓), 13 sections, 0 code blocks
[breakdown-epic-pm]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-epic-pm]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[freecad-scripts] 📊 freecad-scripts: 5,659 BPE tokens [chars/4: 5,330] (comprehensive ✗), 92 sections, 19 code blocks
[freecad-scripts]    ⚠  Skill is 5,659 BPE tokens (chars/4 estimate: 5,330) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[create-specification] 📊 create-specification: 1,164 BPE tokens [chars/4: 1,380] (detailed ✓), 20 sections, 2 code blocks
�[31m❌ [create-specification] File reference '/spec/' uses an absolute (repo-rooted) path — references must be relative to the skill directory.�[0m
[create-specification]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[postgresql-code-review] 📊 postgresql-code-review: 1,646 BPE tokens [chars/4: 1,847] (detailed ✓), 21 sections, 8 code blocks
[mini-context-graph] 📊 mini-context-graph: 1,896 BPE tokens [chars/4: 2,001] (detailed ✓), 25 sections, 2 code blocks
[flowstudio-power-automate-monitoring] 📊 flowstudio-power-automate-monitoring: 3,476 BPE tokens [chars/4: 3,282] (standard ~), 25 sections, 12 code blocks
[flowstudio-power-automate-monitoring]    ⚠  Skill is 3,476 BPE tokens (chars/4 estimate: 3,282) — approaching "comprehensive" range where gains diminish.
[ef-core] 📊 ef-core: 492 BPE tokens [chars/4: 670] (detailed ✓), 9 sections, 0 code blocks
[ef-core]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[ef-core]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[postgresql-optimization] 📊 postgresql-optimization: 2,651 BPE tokens [chars/4: 2,834] (standard ~), 36 sections, 20 code blocks
[postgresql-optimization]    ⚠  Skill is 2,651 BPE tokens (chars/4 estimate: 2,834) — approaching "comprehensive" range where gains diminish.
[postgresql-optimization]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[microsoft-docs] 📊 microsoft-docs: 1,362 BPE tokens [chars/4: 1,418] (detailed ✓), 14 sections, 2 code blocks
[qdrant-monitoring] 📊 qdrant-monitoring: 241 BPE tokens [chars/4: 276] (compact ✓), 3 sections, 0 code blocks
[qdrant-monitoring]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-monitoring]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[mkdocs-translations] 📊 mkdocs-translations: 946 BPE tokens [chars/4: 1,073] (detailed ✓), 10 sections, 0 code blocks
[mkdocs-translations]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[mkdocs-translations]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[ai-ready] 📊 ai-ready: 349 BPE tokens [chars/4: 364] (compact ✓), 2 sections, 2 code blocks
[datanalysis-credit-risk] 📊 datanalysis-credit-risk: 1,365 BPE tokens [chars/4: 1,546] (detailed ✓), 16 sections, 1 code blocks
[github-actions-efficiency] 📊 github-actions-efficiency: 995 BPE tokens [chars/4: 1,137] (detailed ✓), 10 sections, 1 code blocks
[arize-dataset] 📊 arize-dataset: 3,861 BPE tokens [chars/4: 3,854] (standard ~), 51 sections, 16 code blocks
[arize-dataset]    ⚠  Skill is 3,861 BPE tokens (chars/4 estimate: 3,854) — approaching "comprehensive" range where gains diminish.
[ruby-mcp-server-generator] 📊 ruby-mcp-server-generator: 3,459 BPE tokens [chars/4: 3,631] (standard ~), 37 sections, 24 code blocks
[ruby-mcp-server-generator]    ⚠  Skill is 3,459 BPE tokens (chars/4 estimate: 3,631) — approaching "comprehensive" range where gains diminish.
[gdpr-compliant] 📊 gdpr-compliant: 2,725 BPE tokens [chars/4: 2,968] (standard ~), 23 sections, 0 code blocks
[gdpr-compliant]    ⚠  Skill is 2,725 BPE tokens (chars/4 estimate: 2,968) — approaching "comprehensive" range where gains diminish.
[gdpr-compliant]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[gdpr-compliant]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[drawio] 📊 drawio: 920 BPE tokens [chars/4: 805] (detailed ✓), 13 sections, 3 code blocks
[dataverse-python-quickstart] 📊 dataverse-python-quickstart: 133 BPE tokens [chars/4: 163] (compact ✓), 0 sections, 0 code blocks
[dataverse-python-quickstart]    ⚠  Skill is only 133 BPE tokens (chars/4 estimate: 163) — may be too sparse to provide actionable guidance.
[dataverse-python-quickstart]    ⚠  No section headers — agents navigate structured documents better.
[dataverse-python-quickstart]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dataverse-python-quickstart]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[generate-image] 📊 generate-image: 1,048 BPE tokens [chars/4: 958] (detailed ✓), 6 sections, 2 code blocks
[gtm-technical-product-pricing] 📊 gtm-technical-product-pricing: 2,991 BPE tokens [chars/4: 3,219] (standard ~), 13 sections, 4 code blocks
[gtm-technical-product-pricing]    ⚠  Skill is 2,991 BPE tokens (chars/4 estimate: 3,219) — approaching "comprehensive" range where gains diminish.
[unit-test-vue-pinia] 📊 unit-test-vue-pinia: 1,588 BPE tokens [chars/4: 1,777] (detailed ✓), 17 sections, 8 code blocks
[entra-agent-user] 📊 entra-agent-user: 2,238 BPE tokens [chars/4: 2,308] (detailed ✓), 25 sections, 12 code blocks
[entra-agent-user]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[microsoft-code-reference] 📊 microsoft-code-reference: 966 BPE tokens [chars/4: 1,047] (detailed ✓), 13 sections, 3 code blocks
[cli-mastery] 📊 cli-mastery: 535 BPE tokens [chars/4: 517] (detailed ✓), 3 sections, 1 code blocks
[cli-mastery]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-async] 📊 csharp-async: 379 BPE tokens [chars/4: 466] (compact ✓), 7 sections, 0 code blocks
[csharp-async]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-async]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[fluentui-blazor] 📊 fluentui-blazor: 1,762 BPE tokens [chars/4: 1,872] (detailed ✓), 13 sections, 13 code blocks
[mvvm-toolkit-messenger] 📊 mvvm-toolkit-messenger: 1,946 BPE tokens [chars/4: 2,214] (detailed ✓), 17 sections, 14 code blocks
[structured-autonomy-plan] 📊 structured-autonomy-plan: 677 BPE tokens [chars/4: 759] (detailed ✓), 9 sections, 1 code blocks
[mvvm-toolkit-di] 📊 mvvm-toolkit-di: 1,998 BPE tokens [chars/4: 2,339] (detailed ✓), 13 sections, 10 code blocks
[ui-screenshots] 📊 ui-screenshots: 1,810 BPE tokens [chars/4: 1,867] (detailed ✓), 16 sections, 8 code blocks
[doublecheck] 📊 doublecheck: 3,254 BPE tokens [chars/4: 3,973] (standard ~), 26 sections, 3 code blocks
[doublecheck]    ⚠  Skill is 3,254 BPE tokens (chars/4 estimate: 3,973) — approaching "comprehensive" range where gains diminish.
[create-github-issue-feature-from-specification] 📊 create-github-issue-feature-from-specification: 173 BPE tokens [chars/4: 228] (compact ✓), 4 sections, 0 code blocks
[create-github-issue-feature-from-specification]    ⚠  Skill is only 173 BPE tokens (chars/4 estimate: 228) — may be too sparse to provide actionable guidance.
[create-github-issue-feature-from-specification]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[appinsights-instrumentation] 📊 appinsights-instrumentation: 547 BPE tokens [chars/4: 616] (detailed ✓), 9 sections, 0 code blocks
[appinsights-instrumentation]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[appinsights-instrumentation]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[react19-source-patterns] 📊 react19-source-patterns: 462 BPE tokens [chars/4: 489] (detailed ✓), 4 sections, 1 code blocks
[react19-source-patterns]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-ai-provider-integration] 📊 arize-ai-provider-integration: 2,684 BPE tokens [chars/4: 2,601] (standard ~), 29 sections, 16 code blocks
[arize-ai-provider-integration]    ⚠  Skill is 2,684 BPE tokens (chars/4 estimate: 2,601) — approaching "comprehensive" range where gains diminish.
[arize-ai-provider-integration]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[power-bi-model-design-review] 📊 power-bi-model-design-review: 2,126 BPE tokens [chars/4: 2,782] (detailed ✓), 28 sections, 17 code blocks
[arize-trace] 📊 arize-trace: 5,896 BPE tokens [chars/4: 5,853] (comprehensive ✗), 43 sections, 10 code blocks
[arize-trace]    ⚠  Skill is 5,896 BPE tokens (chars/4 estimate: 5,853) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[az-cost-optimize] 📊 az-cost-optimize: 2,956 BPE tokens [chars/4: 3,218] (standard ~), 12 sections, 7 code blocks
[az-cost-optimize]    ⚠  Skill is 2,956 BPE tokens (chars/4 estimate: 3,218) — approaching "comprehensive" range where gains diminish.
[geofeed-tuner] 📊 geofeed-tuner: 11,662 BPE tokens [chars/4: 12,215] (comprehensive ✗), 35 sections, 15 code blocks
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference 'assets/example/01-user-input-rfc8805-feed.csv' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/comments.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/mcp-server-payload.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/mcp-server-payload.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[geofeed-tuner]    ⚠  Skill is 11,662 BPE tokens (chars/4 estimate: 12,215) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[agent-owasp-compliance] 📊 agent-owasp-compliance: 2,754 BPE tokens [chars/4: 2,970] (standard ~), 22 sections, 7 code blocks
[agent-owasp-compliance]    ⚠  Skill is 2,754 BPE tokens (chars/4 estimate: 2,970) — approaching "comprehensive" range where gains diminish.
[qdrant-model-migration] 📊 qdrant-model-migration: 1,157 BPE tokens [chars/4: 1,379] (detailed ✓), 7 sections, 0 code blocks
[qdrant-model-migration]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-model-migration]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[threat-model-analyst] 📊 threat-model-analyst: 1,266 BPE tokens [chars/4: 1,463] (detailed ✓), 7 sections, 0 code blocks
�[31m❌ [threat-model-analyst] File reference './references/skeletons/' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[threat-model-analyst]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[threat-model-analyst]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[draw-io-diagram-generator] 📊 draw-io-diagram-generator: 5,377 BPE tokens [chars/4: 4,884] (comprehensive ✗), 33 sections, 12 code blocks
[draw-io-diagram-generator]    ⚠  Skill is 5,377 BPE tokens (chars/4 estimate: 4,884) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[typespec-create-agent] 📊 typespec-create-agent: 672 BPE tokens [chars/4: 737] (detailed ✓), 5 sections, 1 code blocks
[csharp-mstest] 📊 csharp-mstest: 3,249 BPE tokens [chars/4: 3,458] (standard ~), 31 sections, 22 code blocks
[csharp-mstest]    ⚠  Skill is 3,249 BPE tokens (chars/4 estimate: 3,458) — approaching "comprehensive" range where gains diminish.
[declarative-agents] 📊 declarative-agents: 925 BPE tokens [chars/4: 1,178] (detailed ✓), 10 sections, 2 code blocks
[md-to-docx] 📊 md-to-docx: 676 BPE tokens [chars/4: 688] (detailed ✓), 9 sections, 3 code blocks
[md-to-docx]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[vardoger-analyze] 📊 vardoger-analyze: 1,315 BPE tokens [chars/4: 1,408] (detailed ✓), 14 sections, 6 code blocks
[webapp-testing] 📊 webapp-testing: 802 BPE tokens [chars/4: 954] (detailed ✓), 19 sections, 7 code blocks
[dotnet-upgrade] 📊 dotnet-upgrade: 1,354 BPE tokens [chars/4: 1,768] (detailed ✓), 1 sections, 0 code blocks
[dotnet-upgrade]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-upgrade]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[containerize-aspnetcore] 📊 containerize-aspnetcore: 3,726 BPE tokens [chars/4: 3,988] (standard ~), 100 sections, 6 code blocks
[containerize-aspnetcore]    ⚠  Skill is 3,726 BPE tokens (chars/4 estimate: 3,988) — approaching "comprehensive" range where gains diminish.
[phoenix-tracing] 📊 phoenix-tracing: 1,488 BPE tokens [chars/4: 1,690] (detailed ✓), 17 sections, 1 code blocks
[mcp-cli] 📊 mcp-cli: 626 BPE tokens [chars/4: 633] (detailed ✓), 16 sections, 1 code blocks
[excalidraw-diagram-generator] 📊 excalidraw-diagram-generator: 5,862 BPE tokens [chars/4: 5,926] (comprehensive ✗), 43 sections, 22 code blocks
[excalidraw-diagram-generator]    ⚠  Skill is 5,862 BPE tokens (chars/4 estimate: 5,926) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[issue-fields-migration] 📊 issue-fields-migration: 6,086 BPE tokens [chars/4: 6,052] (comprehensive ✗), 35 sections, 21 code blocks
[issue-fields-migration]    ⚠  Skill is 6,086 BPE tokens (chars/4 estimate: 6,052) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[github-release] 📊 github-release: 3,638 BPE tokens [chars/4: 3,576] (standard ~), 43 sections, 19 code blocks
[github-release]    ⚠  Skill is 3,638 BPE tokens (chars/4 estimate: 3,576) — approaching "comprehensive" range where gains diminish.
[generate-custom-instructions-from-codebase] 📊 generate-custom-instructions-from-codebase: 1,801 BPE tokens [chars/4: 2,166] (detailed ✓), 38 sections, 2 code blocks
[quasi-coder] 📊 quasi-coder: 3,116 BPE tokens [chars/4: 3,907] (standard ~), 37 sections, 11 code blocks
[quasi-coder]    ⚠  Skill is 3,116 BPE tokens (chars/4 estimate: 3,907) — approaching "comprehensive" range where gains diminish.
[arduino-azure-iot-edge-integration] 📊 arduino-azure-iot-edge-integration: 929 BPE tokens [chars/4: 1,171] (detailed ✓), 18 sections, 0 code blocks
[arduino-azure-iot-edge-integration]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[suggest-awesome-github-copilot-instructions] 📊 suggest-awesome-github-copilot-instructions: 1,499 BPE tokens [chars/4: 1,904] (detailed ✓), 11 sections, 1 code blocks
[java-junit] 📊 java-junit: 695 BPE tokens [chars/4: 746] (detailed ✓), 8 sections, 0 code blocks
[java-junit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-junit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[qdrant-performance-optimization] 📊 qdrant-performance-optimization: 366 BPE tokens [chars/4: 461] (compact ✓), 4 sections, 0 code blocks
[qdrant-performance-optimization]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-performance-optimization]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[salesforce-component-standards] 📊 salesforce-component-standards: 2,300 BPE tokens [chars/4: 2,448] (detailed ✓), 20 sections, 4 code blocks
[salesforce-component-standards]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[prompt-optimizer] 📊 prompt-optimizer: 4,380 BPE tokens [chars/4: 4,945] (standard ~), 29 sections, 14 code blocks
[prompt-optimizer]    ⚠  Skill is 4,380 BPE tokens (chars/4 estimate: 4,945) — approaching "comprehensive" range where gains diminish.
[react18-dep-compatibility] 📊 react18-dep-compatibility: 1,388 BPE tokens [chars/4: 1,124] (detailed ✓), 10 sections, 1 code blocks
[react18-dep-compatibility]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[sql-server-table-reconciliation] 📊 sql-server-table-reconciliation: 1,404 BPE tokens [chars/4: 1,449] (detailed ✓), 12 sections, 6 code blocks
[react18-string-refs] 📊 react18-string-refs: 549 BPE tokens [chars/4: 527] (detailed ✓), 6 sections, 1 code blocks
[context-map] 📊 context-map: 249 BPE tokens [chars/4: 287] (compact ✓), 10 sections, 1 code blocks
[mcp-copilot-studio-server-generator] 📊 mcp-copilot-studio-server-generator: 942 BPE tokens [chars/4: 1,063] (detailed ✓), 6 sections, 2 code blocks
[secret-scanning] 📊 secret-scanning: 2,073 BPE tokens [chars/4: 2,387] (detailed ✓), 30 sections, 4 code blocks
[creating-oracle-to-postgres-migration-integration-tests] 📊 creating-oracle-to-postgres-migration-integration-tests: 605 BPE tokens [chars/4: 760] (detailed ✓), 4 sections, 1 code blocks
[creating-oracle-to-postgres-migration-integration-tests]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[roundup] 📊 roundup: 2,219 BPE tokens [chars/4: 2,591] (detailed ✓), 28 sections, 0 code blocks
[roundup]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[roundup]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[remember] 📊 remember: 1,381 BPE tokens [chars/4: 1,632] (detailed ✓), 13 sections, 1 code blocks
[breakdown-feature-implementation] 📊 breakdown-feature-implementation: 966 BPE tokens [chars/4: 1,189] (detailed ✓), 9 sections, 2 code blocks
[breakdown-feature-implementation]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[editorconfig] 📊 editorconfig: 877 BPE tokens [chars/4: 1,040] (detailed ✓), 8 sections, 1 code blocks
[java-springboot] 📊 java-springboot: 855 BPE tokens [chars/4: 1,034] (detailed ✓), 10 sections, 0 code blocks
[java-springboot]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-springboot]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[remember-interactive-programming] 📊 remember-interactive-programming: 175 BPE tokens [chars/4: 221] (compact ✓), 0 sections, 0 code blocks
[remember-interactive-programming]    ⚠  Skill is only 175 BPE tokens (chars/4 estimate: 221) — may be too sparse to provide actionable guidance.
[remember-interactive-programming]    ⚠  No section headers — agents navigate structured documents better.
[remember-interactive-programming]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[remember-interactive-programming]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[commit-message-storyteller] 📊 commit-message-storyteller: 1,178 BPE tokens [chars/4: 1,289] (detailed ✓), 14 sections, 3 code blocks
[powerbi-modeling] 📊 powerbi-modeling: 1,264 BPE tokens [chars/4: 1,495] (detailed ✓), 16 sections, 4 code blocks
[dataverse-python-production-code] 📊 dataverse-python-production-code: 813 BPE tokens [chars/4: 913] (detailed ✓), 9 sections, 3 code blocks
[create-github-action-workflow-specification] 📊 create-github-action-workflow-specification: 1,790 BPE tokens [chars/4: 1,915] (detailed ✓), 47 sections, 6 code blocks
[fabric-lakehouse] 📊 fabric-lakehouse: 1,243 BPE tokens [chars/4: 1,525] (detailed ✓), 21 sections, 0 code blocks
[fabric-lakehouse]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[fabric-lakehouse]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-llms] 📊 create-llms: 1,487 BPE tokens [chars/4: 1,824] (detailed ✓), 33 sections, 1 code blocks
[qdrant-clients-sdk] 📊 qdrant-clients-sdk: 771 BPE tokens [chars/4: 749] (detailed ✓), 4 sections, 2 code blocks
[qdrant-clients-sdk]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[azure-smart-city-iot-solution-builder] 📊 azure-smart-city-iot-solution-builder: 1,118 BPE tokens [chars/4: 1,336] (detailed ✓), 16 sections, 0 code blocks
[azure-smart-city-iot-solution-builder]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[containerize-aspnet-framework] 📊 containerize-aspnet-framework: 4,885 BPE tokens [chars/4: 5,202] (standard ~), 108 sections, 5 code blocks
[containerize-aspnet-framework]    ⚠  Skill is 4,885 BPE tokens (chars/4 estimate: 5,202) — approaching "comprehensive" range where gains diminish.
[transloadit-media-processing] 📊 transloadit-media-processing: 1,366 BPE tokens [chars/4: 1,281] (detailed ✓), 14 sections, 8 code blocks
[transloadit-media-processing]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-experiment] 📊 arize-experiment: 4,616 BPE tokens [chars/4: 4,646] (standard ~), 34 sections, 20 code blocks
[arize-experiment]    ⚠  Skill is 4,616 BPE tokens (chars/4 estimate: 4,646) — approaching "comprehensive" range where gains diminish.
[game-engine] 📊 game-engine: 1,433 BPE tokens [chars/4: 1,581] (detailed ✓), 16 sections, 0 code blocks
[game-engine]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[screen-recording] 📊 screen-recording: 1,999 BPE tokens [chars/4: 2,003] (detailed ✓), 22 sections, 9 code blocks
[namecheap] 📊 namecheap: 1,714 BPE tokens [chars/4: 1,726] (detailed ✓), 26 sections, 4 code blocks
[efcore-d2-db-diagram] 📊 efcore-d2-db-diagram: 2,145 BPE tokens [chars/4: 2,287] (detailed ✓), 20 sections, 4 code blocks
[from-the-other-side-quinn] 📊 from-the-other-side-quinn: 559 BPE tokens [chars/4: 695] (detailed ✓), 12 sections, 0 code blocks
[from-the-other-side-quinn]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[arize-prompt-optimization] 📊 arize-prompt-optimization: 4,489 BPE tokens [chars/4: 4,799] (standard ~), 58 sections, 19 code blocks
[arize-prompt-optimization]    ⚠  Skill is 4,489 BPE tokens (chars/4 estimate: 4,799) — approaching "comprehensive" range where gains diminish.
[create-technical-spike] 📊 create-technical-spike: 1,358 BPE tokens [chars/4: 1,643] (detailed ✓), 33 sections, 1 code blocks
[acreadiness-policy] 📊 acreadiness-policy: 1,005 BPE tokens [chars/4: 940] (detailed ✓), 11 sections, 4 code blocks
[roundup-setup] 📊 roundup-setup: 3,202 BPE tokens [chars/4: 3,669] (standard ~), 18 sections, 1 code blocks
[roundup-setup]    ⚠  Skill is 3,202 BPE tokens (chars/4 estimate: 3,669) — approaching "comprehensive" range where gains diminish.
[review-and-refactor] 📊 review-and-refactor: 152 BPE tokens [chars/4: 193] (compact ✓), 2 sections, 0 code blocks
[review-and-refactor]    ⚠  Skill is only 152 BPE tokens (chars/4 estimate: 193) — may be too sparse to provide actionable guidance.
[review-and-refactor]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[chrome-devtools] 📊 chrome-devtools: 923 BPE tokens [chars/4: 1,037] (detailed ✓), 13 sections, 3 code blocks
[agent-supply-chain] 📊 agent-supply-chain: 2,515 BPE tokens [chars/4: 2,677] (standard ~), 13 sections, 8 code blocks
[agent-supply-chain]    ⚠  Skill is 2,515 BPE tokens (chars/4 estimate: 2,677) — approaching "comprehensive" range where gains diminish.
[agent-supply-chain]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[nuget-manager] 📊 nuget-manager: 812 BPE tokens [chars/4: 855] (detailed ✓), 11 sections, 0 code blocks
[nuget-manager]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-design-pattern-review] 📊 dotnet-design-pattern-review: 599 BPE tokens [chars/4: 821] (detailed ✓), 4 sections, 0 code blocks
[dotnet-design-pattern-review]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-design-pattern-review]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[react19-test-patterns] 📊 react19-test-patterns: 815 BPE tokens [chars/4: 790] (detailed ✓), 7 sections, 5 code blocks
[power-platform-mcp-connector-suite] 📊 power-platform-mcp-connector-suite: 1,348 BPE tokens [chars/4: 1,590] (detailed ✓), 19 sections, 1 code blocks
[power-platform-mcp-connector-suite]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-link] 📊 arize-link: 1,239 BPE tokens [chars/4: 1,121] (detailed ✓), 9 sections, 6 code blocks
[vscode-ext-commands] 📊 vscode-ext-commands: 323 BPE tokens [chars/4: 387] (compact ✓), 3 sections, 0 code blocks
[vscode-ext-commands]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[vscode-ext-commands]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[creating-oracle-to-postgres-migration-bug-report] 📊 creating-oracle-to-postgres-migration-bug-report: 473 BPE tokens [chars/4: 567] (detailed ✓), 6 sections, 0 code blocks
[creating-oracle-to-postgres-migration-bug-report]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[creating-oracle-to-postgres-migration-bug-report]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[gen-specs-as-issues] 📊 gen-specs-as-issues: 1,163 BPE tokens [chars/4: 1,467] (detailed ✓), 17 sections, 0 code blocks
[gen-specs-as-issues]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[azure-resource-visualizer] 📊 azure-resource-visualizer: 2,173 BPE tokens [chars/4: 2,428] (detailed ✓), 17 sections, 1 code blocks
[onboard-context-matic] 📊 onboard-context-matic: 3,136 BPE tokens [chars/4: 3,361] (standard ~), 13 sections, 12 code blocks
[onboard-context-matic]    ⚠  Skill is 3,136 BPE tokens (chars/4 estimate: 3,361) — approaching "comprehensive" range where gains diminish.
[github-copilot-starter] 📊 github-copilot-starter: 3,527 BPE tokens [chars/4: 3,860] (standard ~), 26 sections, 13 code blocks
[github-copilot-starter]    ⚠  Skill is 3,527 BPE tokens (chars/4 estimate: 3,860) — approaching "comprehensive" range where gains diminish.
[aws-well-architected-review] 📊 aws-well-architected-review: 1,860 BPE tokens [chars/4: 1,890] (detailed ✓), 24 sections, 4 code blocks
[quality-playbook] 📊 quality-playbook: 66,332 BPE tokens [chars/4: 73,092] (comprehensive ✗), 128 sections, 44 code blocks
[quality-playbook]    ⚠  Skill is 66,332 BPE tokens (chars/4 estimate: 73,092) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[gtm-enterprise-account-planning] 📊 gtm-enterprise-account-planning: 3,625 BPE tokens [chars/4: 3,912] (standard ~), 16 sections, 3 code blocks
[gtm-enterprise-account-planning]    ⚠  Skill is 3,625 BPE tokens (chars/4 estimate: 3,912) — approaching "comprehensive" range where gains diminish.
[audit-integrity] 📊 audit-integrity: 705 BPE tokens [chars/4: 832] (detailed ✓), 6 sections, 0 code blocks
[audit-integrity]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[swift-mcp-server-generator] 📊 swift-mcp-server-generator: 3,781 BPE tokens [chars/4: 4,374] (standard ~), 30 sections, 18 code blocks
[swift-mcp-server-generator]    ⚠  Skill is 3,781 BPE tokens (chars/4 estimate: 4,374) — approaching "comprehensive" range where gains diminish.
[power-apps-code-app-scaffold] 📊 power-apps-code-app-scaffold: 1,424 BPE tokens [chars/4: 1,786] (detailed ✓), 18 sections, 2 code blocks
[multi-stage-dockerfile] 📊 multi-stage-dockerfile: 443 BPE tokens [chars/4: 577] (detailed ✓), 5 sections, 0 code blocks
[multi-stage-dockerfile]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[multi-stage-dockerfile]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[acreadiness-generate-instructions] 📊 acreadiness-generate-instructions: 2,129 BPE tokens [chars/4: 2,104] (detailed ✓), 9 sections, 2 code blocks
[sql-code-review] 📊 sql-code-review: 2,112 BPE tokens [chars/4: 2,220] (detailed ✓), 36 sections, 15 code blocks
[readme-blueprint-generator] 📊 readme-blueprint-generator: 563 BPE tokens [chars/4: 729] (detailed ✓), 12 sections, 0 code blocks
[readme-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[copilot-cli-quickstart] 📊 copilot-cli-quickstart: 7,782 BPE tokens [chars/4: 7,225] (comprehensive ✗), 40 sections, 28 code blocks
[copilot-cli-quickstart]    ⚠  Skill is 7,782 BPE tokens (chars/4 estimate: 7,225) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[openapi-to-application-code] 📊 openapi-to-application-code: 931 BPE tokens [chars/4: 1,144] (detailed ✓), 11 sections, 1 code blocks
[email-drafter] 📊 email-drafter: 1,013 BPE tokens [chars/4: 1,142] (detailed ✓), 10 sections, 0 code blocks
[email-drafter]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[react18-enzyme-to-rtl] 📊 react18-enzyme-to-rtl: 870 BPE tokens [chars/4: 917] (detailed ✓), 6 sections, 3 code blocks
[finalize-agent-prompt] 📊 finalize-agent-prompt: 185 BPE tokens [chars/4: 224] (compact ✓), 4 sections, 0 code blocks
[finalize-agent-prompt]    ⚠  Skill is only 185 BPE tokens (chars/4 estimate: 224) — may be too sparse to provide actionable guidance.
[finalize-agent-prompt]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[rust-mcp-server-generator] 📊 rust-mcp-server-generator: 3,088 BPE tokens [chars/4: 3,190] (standard ~), 31 sections, 24 code blocks
[rust-mcp-server-generator]    ⚠  Skill is 3,088 BPE tokens (chars/4 estimate: 3,190) — approaching "comprehensive" range where gains diminish.
[csharp-tunit] 📊 csharp-tunit: 1,164 BPE tokens [chars/4: 1,287] (detailed ✓), 10 sections, 0 code blocks
[csharp-tunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-tunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[memory-merger] 📊 memory-merger: 924 BPE tokens [chars/4: 972] (detailed ✓), 12 sections, 3 code blocks
[pinecone-rag] 📊 pinecone-rag: 2,373 BPE tokens [chars/4: 2,405] (detailed ✓), 16 sections, 9 code blocks
[pinecone-rag]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[gtm-0-to-1-launch] 📊 gtm-0-to-1-launch: 2,879 BPE tokens [chars/4: 3,186] (standard ~), 15 sections, 2 code blocks
[gtm-0-to-1-launch]    ⚠  Skill is 2,879 BPE tokens (chars/4 estimate: 3,186) — approaching "comprehensive" range where gains diminish.
[debian-linux-triage] 📊 debian-linux-triage: 223 BPE tokens [chars/4: 240] (compact ✓), 4 sections, 0 code blocks
[debian-linux-triage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[update-llms] 📊 update-llms: 1,701 BPE tokens [chars/4: 2,098] (detailed ✓), 36 sections, 1 code blocks
[react-container-presentation-component] 📊 react-container-presentation-component: 878 BPE tokens [chars/4: 1,034] (detailed ✓), 5 sections, 0 code blocks
[react-container-presentation-component]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[react18-legacy-context] 📊 react18-legacy-context: 561 BPE tokens [chars/4: 620] (detailed ✓), 8 sections, 2 code blocks
[brag-sheet] 📊 brag-sheet: 2,922 BPE tokens [chars/4: 2,959] (standard ~), 30 sections, 6 code blocks
[brag-sheet]    ⚠  Skill is 2,922 BPE tokens (chars/4 estimate: 2,959) — approaching "comprehensive" range where gains diminish.
[terraform-azurerm-set-diff-analyzer] 📊 terraform-azurerm-set-diff-analyzer: 489 BPE tokens [chars/4: 547] (detailed ✓), 9 sections, 1 code blocks
[terraform-azurerm-set-diff-analyzer]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-evaluator] 📊 arize-evaluator: 7,825 BPE tokens [chars/4: 8,053] (comprehensive ✗), 59 sections, 28 code blocks
[arize-evaluator]    ⚠  Skill is 7,825 BPE tokens (chars/4 estimate: 8,053) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[agent-governance] 📊 agent-governance: 4,203 BPE tokens [chars/4: 4,626] (standard ~), 33 sections, 14 code blocks
[agent-governance]    ⚠  Skill is 4,203 BPE tokens (chars/4 estimate: 4,626) — approaching "comprehensive" range where gains diminish.
[agent-governance]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-refactoring-remove-parameter] 📊 java-refactoring-remove-parameter: 611 BPE tokens [chars/4: 738] (detailed ✓), 8 sections, 5 code blocks
[java-refactoring-remove-parameter]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[flowstudio-power-automate-build] 📊 flowstudio-power-automate-build: 4,667 BPE tokens [chars/4: 4,925] (standard ~), 34 sections, 18 code blocks
[flowstudio-power-automate-build]    ⚠  Skill is 4,667 BPE tokens (chars/4 estimate: 4,925) — approaching "comprehensive" range where gains diminish.
[create-agentsmd] 📊 create-agentsmd: 1,651 BPE tokens [chars/4: 1,964] (detailed ✓), 36 sections, 2 code blocks
[premium-frontend-ui] 📊 premium-frontend-ui: 1,480 BPE tokens [chars/4: 1,797] (detailed ✓), 15 sections, 0 code blocks
[premium-frontend-ui]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[bigquery-pipeline-audit] 📊 bigquery-pipeline-audit: 1,224 BPE tokens [chars/4: 1,251] (detailed ✓), 8 sections, 0 code blocks
[bigquery-pipeline-audit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[conventional-branch] 📊 conventional-branch: 1,131 BPE tokens [chars/4: 1,063] (detailed ✓), 11 sections, 5 code blocks
[conventional-branch]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-nunit] 📊 csharp-nunit: 636 BPE tokens [chars/4: 711] (detailed ✓), 8 sections, 0 code blocks
[csharp-nunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-nunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[power-bi-performance-troubleshooting] 📊 power-bi-performance-troubleshooting: 2,078 BPE tokens [chars/4: 2,591] (detailed ✓), 31 sections, 19 code blocks
[gtm-ai-gtm] 📊 gtm-ai-gtm: 4,938 BPE tokens [chars/4: 5,300] (standard ~), 18 sections, 4 code blocks
[gtm-ai-gtm]    ⚠  Skill is 4,938 BPE tokens (chars/4 estimate: 5,300) — approaching "comprehensive" range where gains diminish.
[flowstudio-power-automate-debug] 📊 flowstudio-power-automate-debug: 4,677 BPE tokens [chars/4: 4,671] (standard ~), 68 sections, 16 code blocks
[flowstudio-power-automate-debug]    ⚠  Skill is 4,677 BPE tokens (chars/4 estimate: 4,671) — approaching "comprehensive" range where gains diminish.
[eyeball] 📊 eyeball: 1,486 BPE tokens [chars/4: 1,637] (detailed ✓), 13 sections, 11 code blocks
[typespec-create-api-plugin] 📊 typespec-create-api-plugin: 979 BPE tokens [chars/4: 1,013] (detailed ✓), 11 sections, 9 code blocks
[prd] 📊 prd: 993 BPE tokens [chars/4: 1,077] (detailed ✓), 25 sections, 1 code blocks
[prd]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[mcp-deploy-manage-agents] 📊 mcp-deploy-manage-agents: 2,036 BPE tokens [chars/4: 2,471] (detailed ✓), 49 sections, 2 code blocks
[acquire-codebase-knowledge] 📊 acquire-codebase-knowledge: 2,169 BPE tokens [chars/4: 2,270] (detailed ✓), 12 sections, 3 code blocks
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/STACK.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/STRUCTURE.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/ARCHITECTURE.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/CONVENTIONS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/INTEGRATIONS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/TESTING.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/CONCERNS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/STACK.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/STRUCTURE.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/ARCHITECTURE.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/CONVENTIONS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/INTEGRATIONS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/TESTING.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/CONCERNS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[power-bi-report-design-consultation] 📊 power-bi-report-design-consultation: 2,357 BPE tokens [chars/4: 2,723] (detailed ✓), 22 sections, 13 code blocks
[react19-concurrent-patterns] 📊 react19-concurrent-patterns: 681 BPE tokens [chars/4: 722] (detailed ✓), 9 sections, 5 code blocks
[spring-boot-testing] 📊 spring-boot-testing: 1,508 BPE tokens [chars/4: 1,664] (detailed ✓), 19 sections, 4 code blocks
[rhino3d-scripts] 📊 rhino3d-scripts: 3,182 BPE tokens [chars/4: 2,981] (standard ~), 17 sections, 4 code blocks
[rhino3d-scripts]    ⚠  Skill is 3,182 BPE tokens (chars/4 estimate: 2,981) — approaching "comprehensive" range where gains diminish.
[aws-cost-optimize] 📊 aws-cost-optimize: 2,004 BPE tokens [chars/4: 2,047] (detailed ✓), 19 sections, 6 code blocks
[what-context-needed] 📊 what-context-needed: 209 BPE tokens [chars/4: 219] (compact ✓), 9 sections, 1 code blocks
[image-annotations] 📊 image-annotations: 6,966 BPE tokens [chars/4: 5,956] (comprehensive ✗), 29 sections, 8 code blocks
[image-annotations]    ⚠  Skill is 6,966 BPE tokens (chars/4 estimate: 5,956) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[oo-component-documentation] 📊 oo-component-documentation: 1,025 BPE tokens [chars/4: 1,346] (detailed ✓), 9 sections, 0 code blocks
[oo-component-documentation]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[write-coding-standards-from-file] 📊 write-coding-standards-from-file: 3,602 BPE tokens [chars/4: 3,845] (standard ~), 30 sections, 7 code blocks
[write-coding-standards-from-file]    ⚠  Skill is 3,602 BPE tokens (chars/4 estimate: 3,845) — approaching "comprehensive" range where gains diminish.
[write-coding-standards-from-file]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[github-actions-hardening] 📊 github-actions-hardening: 2,281 BPE tokens [chars/4: 2,449] (detailed ✓), 14 sections, 1 code blocks
[github-actions-hardening]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[pr-dashboard] 📊 pr-dashboard: 589 BPE tokens [chars/4: 524] (detailed ✓), 5 sections, 1 code blocks
[pr-dashboard]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-github-issues-for-unmet-specification-requirements] 📊 create-github-issues-for-unmet-specification-requirements: 233 BPE tokens [chars/4: 319] (compact ✓), 5 sections, 0 code blocks
[create-github-issues-for-unmet-specification-requirements]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[create-readme] 📊 create-readme: 306 BPE tokens [chars/4: 333] (compact ✓), 2 sections, 0 code blocks
[create-readme]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[update-implementation-plan] 📊 update-implementation-plan: 1,400 BPE tokens [chars/4: 1,595] (detailed ✓), 22 sections, 1 code blocks
[update-implementation-plan]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[copilot-usage-metrics] 📊 copilot-usage-metrics: 535 BPE tokens [chars/4: 609] (detailed ✓), 8 sections, 0 code blocks
[copilot-usage-metrics]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[arch-linux-triage] 📊 arch-linux-triage: 212 BPE tokens [chars/4: 232] (compact ✓), 4 sections, 0 code blocks
[arch-linux-triage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[daily-prep] 📊 daily-prep: 2,157 BPE tokens [chars/4: 2,129] (detailed ✓), 16 sections, 0 code blocks
[daily-prep]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[from-the-other-side-vega] 📊 from-the-other-side-vega: 820 BPE tokens [chars/4: 894] (detailed ✓), 9 sections, 0 code blocks
[from-the-other-side-vega]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[from-the-other-side-vega]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[playwright-explore-website] 📊 playwright-explore-website: 140 BPE tokens [chars/4: 171] (compact ✓), 2 sections, 0 code blocks
[playwright-explore-website]    ⚠  Skill is only 140 BPE tokens (chars/4 estimate: 171) — may be too sparse to provide actionable guidance.
[playwright-explore-website]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[finnish-humanizer] 📊 finnish-humanizer: 2,637 BPE tokens [chars/4: 1,734] (standard ~), 11 sections, 0 code blocks
[finnish-humanizer]    ⚠  Skill is 2,637 BPE tokens (chars/4 estimate: 1,734) — approaching "comprehensive" range where gains diminish.
[finnish-humanizer]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[copilot-sdk] 📊 copilot-sdk: 5,749 BPE tokens [chars/4: 6,042] (comprehensive ✗), 63 sections, 41 code blocks
[copilot-sdk]    ⚠  Skill is 5,749 BPE tokens (chars/4 estimate: 6,042) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[exam-ready] 📊 exam-ready: 952 BPE tokens [chars/4: 983] (detailed ✓), 9 sections, 0 code blocks
[exam-ready]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-docs] 📊 csharp-docs: 908 BPE tokens [chars/4: 1,021] (detailed ✓), 6 sections, 0 code blocks
[csharp-docs]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-docs]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[copilot-instructions-blueprint-generator] 📊 copilot-instructions-blueprint-generator: 2,981 BPE tokens [chars/4: 3,696] (standard ~), 19 sections, 1 code blocks
[copilot-instructions-blueprint-generator]    ⚠  Skill is 2,981 BPE tokens (chars/4 estimate: 3,696) — approaching "comprehensive" range where gains diminish.
[project-workflow-analysis-blueprint-generator] 📊 project-workflow-analysis-blueprint-generator: 2,236 BPE tokens [chars/4: 2,719] (detailed ✓), 20 sections, 18 code blocks
[project-workflow-analysis-blueprint-generator]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[technology-stack-blueprint-generator] 📊 technology-stack-blueprint-generator: 1,957 BPE tokens [chars/4: 2,461] (detailed ✓), 22 sections, 0 code blocks
[technology-stack-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[technology-stack-blueprint-generator]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[salesforce-apex-quality] 📊 salesforce-apex-quality: 1,682 BPE tokens [chars/4: 1,820] (detailed ✓), 14 sections, 4 code blocks
[salesforce-apex-quality]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[react-audit-grep-patterns] 📊 react-audit-grep-patterns: 475 BPE tokens [chars/4: 461] (detailed ✓), 13 sections, 1 code blocks
[react-audit-grep-patterns]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[typespec-api-operations] 📊 typespec-api-operations: 2,327 BPE tokens [chars/4: 2,287] (detailed ✓), 35 sections, 16 code blocks
[typespec-api-operations]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[adobe-illustrator-scripting] 📊 adobe-illustrator-scripting: 8,799 BPE tokens [chars/4: 8,756] (comprehensive ✗), 78 sections, 39 code blocks
[adobe-illustrator-scripting]    ⚠  Skill is 8,799 BPE tokens (chars/4 estimate: 8,756) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[adobe-illustrator-scripting]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[add-educational-comments] 📊 add-educational-comments: 1,346 BPE tokens [chars/4: 1,556] (detailed ✓), 17 sections, 2 code blocks
[azure-pricing] 📊 azure-pricing: 2,315 BPE tokens [chars/4: 2,371] (detailed ✓), 23 sections, 4 code blocks
[microsoft-skill-creator] 📊 microsoft-skill-creator: 1,915 BPE tokens [chars/4: 2,100] (detailed ✓), 30 sections, 12 code blocks
�[31m❌ [microsoft-skill-creator] File reference 'sample_codes/getting-started/hello-kernel.cs' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[create-spring-boot-kotlin-project] 📊 create-spring-boot-kotlin-project: 1,013 BPE tokens [chars/4: 1,045] (detailed ✓), 11 sections, 11 code blocks
[create-spring-boot-kotlin-project]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[php-mcp-server-generator] 📊 php-mcp-server-generator: 2,723 BPE tokens [chars/4: 2,697] (standard ~), 37 sections, 25 code blocks
[php-mcp-server-generator]    ⚠  Skill is 2,723 BPE tokens (chars/4 estimate: 2,697) — approaching "comprehensive" range where gains diminish.
[qdrant-scaling] 📊 qdrant-scaling: 399 BPE tokens [chars/4: 467] (compact ✓), 5 sections, 0 code blocks
[qdrant-scaling]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-scaling]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[documentation-writer] 📊 documentation-writer: 554 BPE tokens [chars/4: 686] (detailed ✓), 5 sections, 0 code blocks
[documentation-writer]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[from-the-other-side-wiggins] 📊 from-the-other-side-wiggins: 776 BPE tokens [chars/4: 981] (detailed ✓), 16 sections, 0 code blocks
[from-the-other-side-wiggins]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-refactoring-extract-method] 📊 java-refactoring-extract-method: 786 BPE tokens [chars/4: 873] (detailed ✓), 8 sections, 5 code blocks
[java-refactoring-extract-method]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[automate-this] 📊 automate-this: 2,869 BPE tokens [chars/4: 3,107] (standard ~), 16 sections, 8 code blocks
[automate-this]    ⚠  Skill is 2,869 BPE tokens (chars/4 estimate: 3,107) — approaching "comprehensive" range where gains diminish.
[suggest-awesome-github-copilot-skills] 📊 suggest-awesome-github-copilot-skills: 1,725 BPE tokens [chars/4: 2,018] (detailed ✓), 11 sections, 1 code blocks
[azure-static-web-apps] 📊 azure-static-web-apps: 2,442 BPE tokens [chars/4: 2,373] (detailed ✓), 24 sections, 17 code blocks
[image-manipulation-image-magick] 📊 image-manipulation-image-magick: 1,829 BPE tokens [chars/4: 1,741] (detailed ✓), 39 sections, 18 code blocks
[msgraph-sdk] 📊 msgraph-sdk: 1,746 BPE tokens [chars/4: 2,054] (detailed ✓), 17 sections, 0 code blocks
[msgraph-sdk]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[tldr-prompt] 📊 tldr-prompt: 2,900 BPE tokens [chars/4: 3,066] (standard ~), 27 sections, 11 code blocks
[tldr-prompt]    ⚠  Skill is 2,900 BPE tokens (chars/4 estimate: 3,066) — approaching "comprehensive" range where gains diminish.
[kotlin-mcp-server-generator] 📊 kotlin-mcp-server-generator: 2,456 BPE tokens [chars/4: 2,672] (detailed ✓), 29 sections, 13 code blocks
[autoresearch] 📊 autoresearch: 2,568 BPE tokens [chars/4: 2,782] (standard ~), 20 sections, 3 code blocks
[autoresearch]    ⚠  Skill is 2,568 BPE tokens (chars/4 estimate: 2,782) — approaching "comprehensive" range where gains diminish.
[code-exemplars-blueprint-generator] 📊 code-exemplars-blueprint-generator: 1,343 BPE tokens [chars/4: 1,678] (detailed ✓), 10 sections, 0 code blocks
[code-exemplars-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[azure-devops-cli] 📊 azure-devops-cli: 906 BPE tokens [chars/4: 954] (detailed ✓), 11 sections, 3 code blocks
[azure-devops-cli]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[refactor-plan] 📊 refactor-plan: 520 BPE tokens [chars/4: 573] (detailed ✓), 14 sections, 1 code blocks
[java-add-graalvm-native-image-support] 📊 java-add-graalvm-native-image-support: 2,964 BPE tokens [chars/4: 3,228] (standard ~), 21 sections, 33 code blocks
[java-add-graalvm-native-image-support]    ⚠  Skill is 2,964 BPE tokens (chars/4 estimate: 3,228) — approaching "comprehensive" range where gains diminish.
[dotnet-mcp-builder] 📊 dotnet-mcp-builder: 1,639 BPE tokens [chars/4: 1,721] (detailed ✓), 7 sections, 1 code blocks
[sql-optimization] 📊 sql-optimization: 2,212 BPE tokens [chars/4: 2,298] (detailed ✓), 28 sections, 14 code blocks
[eval-driven-dev] 📊 eval-driven-dev: 3,877 BPE tokens [chars/4: 4,434] (standard ~), 16 sections, 1 code blocks
[eval-driven-dev]    ⚠  Skill is 3,877 BPE tokens (chars/4 estimate: 4,434) — approaching "comprehensive" range where gains diminish.
[eval-driven-dev]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[harness-engineering] 📊 harness-engineering: 1,605 BPE tokens [chars/4: 1,971] (detailed ✓), 18 sections, 3 code blocks
[breakdown-test] 📊 breakdown-test: 3,102 BPE tokens [chars/4: 3,741] (standard ~), 59 sections, 3 code blocks
[breakdown-test]    ⚠  Skill is 3,102 BPE tokens (chars/4 estimate: 3,741) — approaching "comprehensive" range where gains diminish.
[slang-shader-engineer] 📊 slang-shader-engineer: 1,587 BPE tokens [chars/4: 1,804] (detailed ✓), 8 sections, 1 code blocks
[markdown-to-html] 📊 markdown-to-html: 6,711 BPE tokens [chars/4: 6,151] (comprehensive ✗), 100 sections, 50 code blocks
[markdown-to-html]    ⚠  Skill is 6,711 BPE tokens (chars/4 estimate: 6,151) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[markdown-to-html]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[github-issues] 📊 github-issues: 1,951 BPE tokens [chars/4: 2,035] (detailed ✓), 22 sections, 6 code blocks
[azure-deployment-preflight] 📊 azure-deployment-preflight: 1,759 BPE tokens [chars/4: 1,870] (detailed ✓), 19 sections, 6 code blocks
[code-tour] 📊 code-tour: 5,620 BPE tokens [chars/4: 5,617] (comprehensive ✗), 28 sections, 5 code blocks
[code-tour]    ⚠  Skill is 5,620 BPE tokens (chars/4 estimate: 5,617) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[sponsor-finder] 📊 sponsor-finder: 3,085 BPE tokens [chars/4: 2,991] (standard ~), 25 sections, 6 code blocks
[sponsor-finder]    ⚠  Skill is 3,085 BPE tokens (chars/4 estimate: 2,991) — approaching "comprehensive" range where gains diminish.
[plantuml-ascii] 📊 plantuml-ascii: 1,612 BPE tokens [chars/4: 1,489] (detailed ✓), 36 sections, 15 code blocks
[create-architectural-decision-record] 📊 create-architectural-decision-record: 690 BPE tokens [chars/4: 766] (detailed ✓), 17 sections, 1 code blocks
[create-architectural-decision-record]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[pdftk-server] 📊 pdftk-server: 1,152 BPE tokens [chars/4: 1,186] (detailed ✓), 19 sections, 14 code blocks
[pdftk-server]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[aws-cdk-python-setup] 📊 aws-cdk-python-setup: 607 BPE tokens [chars/4: 650] (detailed ✓), 18 sections, 8 code blocks
[aws-cdk-python-setup]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[performance-review-writer] 📊 performance-review-writer: 1,963 BPE tokens [chars/4: 2,190] (detailed ✓), 36 sections, 3 code blocks
[nano-banana-pro-openrouter] 📊 nano-banana-pro-openrouter: 673 BPE tokens [chars/4: 664] (detailed ✓), 9 sections, 3 code blocks
[nano-banana-pro-openrouter]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[reviewing-oracle-to-postgres-migration] 📊 reviewing-oracle-to-postgres-migration: 605 BPE tokens [chars/4: 762] (detailed ✓), 5 sections, 2 code blocks
[breakdown-epic-arch] 📊 breakdown-epic-arch: 601 BPE tokens [chars/4: 712] (detailed ✓), 12 sections, 0 code blocks
[breakdown-epic-arch]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-epic-arch]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[git-flow-branch-creator] 📊 git-flow-branch-creator: 2,629 BPE tokens [chars/4: 2,605] (standard ~), 10 sections, 9 code blocks
[git-flow-branch-creator]    ⚠  Skill is 2,629 BPE tokens (chars/4 estimate: 2,605) — approaching "comprehensive" range where gains diminish.
[import-infrastructure-as-code] 📊 import-infrastructure-as-code: 4,135 BPE tokens [chars/4: 4,680] (standard ~), 30 sections, 11 code blocks
[import-infrastructure-as-code]    ⚠  Skill is 4,135 BPE tokens (chars/4 estimate: 4,680) — approaching "comprehensive" range where gains diminish.
[structured-autonomy-generate] 📊 structured-autonomy-generate: 921 BPE tokens [chars/4: 1,033] (detailed ✓), 10 sections, 3 code blocks
[agentic-eval] 📊 agentic-eval: 1,358 BPE tokens [chars/4: 1,466] (detailed ✓), 16 sections, 8 code blocks
[agentic-eval]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-docs] 📊 java-docs: 316 BPE tokens [chars/4: 360] (compact ✓), 1 sections, 0 code blocks
[java-docs]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-docs]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-annotation] 📊 arize-annotation: 2,528 BPE tokens [chars/4: 2,696] (standard ~), 27 sections, 15 code blocks
[arize-annotation]    ⚠  Skill is 2,528 BPE tokens (chars/4 estimate: 2,696) — approaching "comprehensive" range where gains diminish.
[arize-annotation]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[azure-role-selector] 📊 azure-role-selector: 198 BPE tokens [chars/4: 246] (compact ✓), 0 sections, 0 code blocks
[azure-role-selector]    ⚠  Skill is only 19

[github-actions[bot]]

Skills (part 2)

8 BPE tokens (chars/4 estimate: 246) — may be too sparse to provide actionable guidance.
[azure-role-selector]    ⚠  No section headers — agents navigate structured documents better.
[azure-role-selector]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[azure-role-selector]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[integrate-context-matic] 📊 integrate-context-matic: 1,496 BPE tokens [chars/4: 1,574] (detailed ✓), 12 sections, 0 code blocks
[integrate-context-matic]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[integrate-context-matic]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[azure-resource-health-diagnose] 📊 azure-resource-health-diagnose: 2,492 BPE tokens [chars/4: 2,859] (detailed ✓), 12 sections, 8 code blocks
[minecraft-plugin-development] 📊 minecraft-plugin-development: 2,589 BPE tokens [chars/4: 3,187] (standard ~), 22 sections, 3 code blocks
[minecraft-plugin-development]    ⚠  Skill is 2,589 BPE tokens (chars/4 estimate: 3,187) — approaching "comprehensive" range where gains diminish.
[go-mcp-server-generator] 📊 go-mcp-server-generator: 1,740 BPE tokens [chars/4: 1,759] (detailed ✓), 21 sections, 8 code blocks
[phoenix-cli] 📊 phoenix-cli: 3,920 BPE tokens [chars/4: 4,050] (standard ~), 20 sections, 17 code blocks
[phoenix-cli]    ⚠  Skill is 3,920 BPE tokens (chars/4 estimate: 4,050) — approaching "comprehensive" range where gains diminish.
[phoenix-cli]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-implementation-plan] 📊 create-implementation-plan: 1,390 BPE tokens [chars/4: 1,575] (detailed ✓), 22 sections, 1 code blocks
[create-implementation-plan]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[centos-linux-triage] 📊 centos-linux-triage: 230 BPE tokens [chars/4: 240] (compact ✓), 4 sections, 0 code blocks
[centos-linux-triage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[migrating-oracle-to-postgres-stored-procedures] 📊 migrating-oracle-to-postgres-stored-procedures: 493 BPE tokens [chars/4: 576] (detailed ✓), 2 sections, 1 code blocks
[migrating-oracle-to-postgres-stored-procedures]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[flowstudio-power-automate-mcp] 📊 flowstudio-power-automate-mcp: 3,404 BPE tokens [chars/4: 3,373] (standard ~), 19 sections, 9 code blocks
[flowstudio-power-automate-mcp]    ⚠  Skill is 3,404 BPE tokens (chars/4 estimate: 3,373) — approaching "comprehensive" range where gains diminish.
[gsap-framer-scroll-animation] 📊 gsap-framer-scroll-animation: 1,631 BPE tokens [chars/4: 1,592] (detailed ✓), 17 sections, 9 code blocks
[conventional-commit] 📊 conventional-commit: 599 BPE tokens [chars/4: 662] (detailed ✓), 6 sections, 6 code blocks
[csharp-xunit] 📊 csharp-xunit: 599 BPE tokens [chars/4: 677] (detailed ✓), 8 sections, 0 code blocks
[csharp-xunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-xunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[cosmosdb-datamodeling] 📊 cosmosdb-datamodeling: 10,181 BPE tokens [chars/4: 11,867] (comprehensive ✗), 71 sections, 19 code blocks
[cosmosdb-datamodeling]    ⚠  Skill is 10,181 BPE tokens (chars/4 estimate: 11,867) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[cloud-design-patterns] 📊 cloud-design-patterns: 890 BPE tokens [chars/4: 1,139] (detailed ✓), 5 sections, 0 code blocks
[cloud-design-patterns]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[cloud-design-patterns]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[refactor] 📊 refactor: 4,264 BPE tokens [chars/4: 4,211] (standard ~), 62 sections, 16 code blocks
[refactor]    ⚠  Skill is 4,264 BPE tokens (chars/4 estimate: 4,211) — approaching "comprehensive" range where gains diminish.
[java-mcp-server-generator] 📊 java-mcp-server-generator: 4,637 BPE tokens [chars/4: 5,506] (standard ~), 28 sections, 19 code blocks
[java-mcp-server-generator]    ⚠  Skill is 4,637 BPE tokens (chars/4 estimate: 5,506) — approaching "comprehensive" range where gains diminish.
[foundry-agent-sync] 📊 foundry-agent-sync: 2,082 BPE tokens [chars/4: 2,100] (detailed ✓), 19 sections, 6 code blocks
[ai-team-orchestration] 📊 ai-team-orchestration: 1,436 BPE tokens [chars/4: 1,400] (detailed ✓), 13 sections, 5 code blocks
[publish-to-pages] 📊 publish-to-pages: 1,127 BPE tokens [chars/4: 1,133] (detailed ✓), 16 sections, 5 code blocks
[python-pypi-package-builder] 📊 python-pypi-package-builder: 4,857 BPE tokens [chars/4: 4,610] (standard ~), 38 sections, 13 code blocks
[python-pypi-package-builder]    ⚠  Skill is 4,857 BPE tokens (chars/4 estimate: 4,610) — approaching "comprehensive" range where gains diminish.
[structured-autonomy-implement] 📊 structured-autonomy-implement: 209 BPE tokens [chars/4: 272] (compact ✓), 0 sections, 0 code blocks
[structured-autonomy-implement]    ⚠  No section headers — agents navigate structured documents better.
[structured-autonomy-implement]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[structured-autonomy-implement]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[optimize-simplicite-logs] 📊 optimize-simplicite-logs: 882 BPE tokens [chars/4: 935] (detailed ✓), 17 sections, 4 code blocks
[arize-instrumentation] 📊 arize-instrumentation: 6,117 BPE tokens [chars/4: 6,210] (comprehensive ✗), 19 sections, 4 code blocks
[arize-instrumentation]    ⚠  Skill is 6,117 BPE tokens (chars/4 estimate: 6,210) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[setup-my-iq] 📊 setup-my-iq: 7,844 BPE tokens [chars/4: 8,521] (comprehensive ✗), 37 sections, 5 code blocks
[setup-my-iq]    ⚠  Skill is 7,844 BPE tokens (chars/4 estimate: 8,521) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[suggest-awesome-github-copilot-agents] 📊 suggest-awesome-github-copilot-agents: 1,467 BPE tokens [chars/4: 1,979] (detailed ✓), 9 sections, 0 code blocks
[suggest-awesome-github-copilot-agents]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[azure-architecture-autopilot] 📊 azure-architecture-autopilot: 1,758 BPE tokens [chars/4: 1,830] (detailed ✓), 16 sections, 5 code blocks
[azure-architecture-autopilot]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[javascript-typescript-jest] 📊 javascript-typescript-jest: 501 BPE tokens [chars/4: 559] (detailed ✓), 6 sections, 0 code blocks
[javascript-typescript-jest]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[javascript-typescript-jest]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[fedora-linux-triage] 📊 fedora-linux-triage: 218 BPE tokens [chars/4: 230] (compact ✓), 4 sections, 0 code blocks
[fedora-linux-triage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[semantic-kernel] 📊 semantic-kernel: 577 BPE tokens [chars/4: 756] (detailed ✓), 7 sections, 0 code blocks
[semantic-kernel]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-version-upgrade] 📊 qdrant-version-upgrade: 465 BPE tokens [chars/4: 485] (detailed ✓), 1 sections, 0 code blocks
[qdrant-version-upgrade]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-version-upgrade]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[napkin] 📊 napkin: 1,649 BPE tokens [chars/4: 1,784] (detailed ✓), 12 sections, 4 code blocks
[phoenix-evals] 📊 phoenix-evals: 1,089 BPE tokens [chars/4: 1,126] (detailed ✓), 5 sections, 0 code blocks
[phoenix-evals]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[phoenix-evals]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[mcp-security-audit] 📊 mcp-security-audit: 2,264 BPE tokens [chars/4: 2,211] (detailed ✓), 9 sections, 11 code blocks
[mcp-security-audit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[typescript-mcp-server-generator] 📊 typescript-mcp-server-generator: 759 BPE tokens [chars/4: 925] (detailed ✓), 12 sections, 0 code blocks
[typescript-mcp-server-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[next-intl-add-language] 📊 next-intl-add-language: 177 BPE tokens [chars/4: 188] (compact ✓), 0 sections, 0 code blocks
[next-intl-add-language]    ⚠  Skill is only 177 BPE tokens (chars/4 estimate: 188) — may be too sparse to provide actionable guidance.
[next-intl-add-language]    ⚠  No section headers — agents navigate structured documents better.
[next-intl-add-language]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[next-intl-add-language]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[gtm-enterprise-onboarding] 📊 gtm-enterprise-onboarding: 3,378 BPE tokens [chars/4: 3,574] (standard ~), 15 sections, 3 code blocks
[gtm-enterprise-onboarding]    ⚠  Skill is 3,378 BPE tokens (chars/4 estimate: 3,574) — approaching "comprehensive" range where gains diminish.
[create-spring-boot-java-project] 📊 create-spring-boot-java-project: 1,092 BPE tokens [chars/4: 1,138] (detailed ✓), 17 sections, 11 code blocks
[create-spring-boot-java-project]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[react18-batching-patterns] 📊 react18-batching-patterns: 561 BPE tokens [chars/4: 621] (detailed ✓), 4 sections, 1 code blocks
[react18-batching-patterns]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[python-mcp-server-generator] 📊 python-mcp-server-generator: 871 BPE tokens [chars/4: 990] (detailed ✓), 13 sections, 0 code blocks
[python-mcp-server-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[boost-prompt] 📊 boost-prompt: 287 BPE tokens [chars/4: 353] (compact ✓), 0 sections, 1 code blocks
[boost-prompt]    ⚠  No section headers — agents navigate structured documents better.
[boost-prompt]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[dependabot] 📊 dependabot: 3,389 BPE tokens [chars/4: 3,394] (standard ~), 45 sections, 26 code blocks
[dependabot]    ⚠  Skill is 3,389 BPE tokens (chars/4 estimate: 3,394) — approaching "comprehensive" range where gains diminish.
[breakdown-feature-prd] 📊 breakdown-feature-prd: 557 BPE tokens [chars/4: 620] (detailed ✓), 13 sections, 0 code blocks
[breakdown-feature-prd]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-feature-prd]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[noob-mode] 📊 noob-mode: 2,604 BPE tokens [chars/4: 2,765] (standard ~), 13 sections, 9 code blocks
[noob-mode]    ⚠  Skill is 2,604 BPE tokens (chars/4 estimate: 2,765) — approaching "comprehensive" range where gains diminish.
[meeting-minutes] 📊 meeting-minutes: 1,835 BPE tokens [chars/4: 1,969] (detailed ✓), 29 sections, 1 code blocks
[meeting-minutes]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[resemble-detect] 📊 resemble-detect: 3,553 BPE tokens [chars/4: 4,084] (standard ~), 24 sections, 1 code blocks
[resemble-detect]    ⚠  Skill is 3,553 BPE tokens (chars/4 estimate: 4,084) — approaching "comprehensive" range where gains diminish.
[update-avm-modules-in-bicep] 📊 update-avm-modules-in-bicep: 591 BPE tokens [chars/4: 564] (detailed ✓), 8 sections, 1 code blocks
[microsoft-agent-framework] 📊 microsoft-agent-framework: 782 BPE tokens [chars/4: 1,041] (detailed ✓), 8 sections, 0 code blocks
[microsoft-agent-framework]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[ruff-recursive-fix] 📊 ruff-recursive-fix: 1,470 BPE tokens [chars/4: 1,549] (detailed ✓), 20 sections, 6 code blocks
[copilot-spaces] 📊 copilot-spaces: 2,082 BPE tokens [chars/4: 2,182] (detailed ✓), 18 sections, 8 code blocks
[flowstudio-power-automate-governance] 📊 flowstudio-power-automate-governance: 3,350 BPE tokens [chars/4: 3,579] (standard ~), 17 sections, 11 code blocks
[flowstudio-power-automate-governance]    ⚠  Skill is 3,350 BPE tokens (chars/4 estimate: 3,579) — approaching "comprehensive" range where gains diminish.
[workiq-copilot] 📊 workiq-copilot: 1,174 BPE tokens [chars/4: 1,361] (detailed ✓), 12 sections, 0 code blocks
[workiq-copilot]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[data-breach-blast-radius] 📊 data-breach-blast-radius: 3,249 BPE tokens [chars/4: 3,551] (standard ~), 14 sections, 3 code blocks
[data-breach-blast-radius]    ⚠  Skill is 3,249 BPE tokens (chars/4 estimate: 3,551) — approaching "comprehensive" range where gains diminish.
[apple-appstore-reviewer] 📊 apple-appstore-reviewer: 2,047 BPE tokens [chars/4: 2,336] (detailed ✓), 36 sections, 0 code blocks
[apple-appstore-reviewer]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[scaffolding-oracle-to-postgres-migration-test-project] 📊 scaffolding-oracle-to-postgres-migration-test-project: 527 BPE tokens [chars/4: 632] (detailed ✓), 3 sections, 1 code blocks
[scaffolding-oracle-to-postgres-migration-test-project]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[gtm-product-led-growth] 📊 gtm-product-led-growth: 3,048 BPE tokens [chars/4: 3,127] (standard ~), 16 sections, 3 code blocks
[gtm-product-led-growth]    ⚠  Skill is 3,048 BPE tokens (chars/4 estimate: 3,127) — approaching "comprehensive" range where gains diminish.
[gtm-positioning-strategy] 📊 gtm-positioning-strategy: 3,189 BPE tokens [chars/4: 3,545] (standard ~), 16 sections, 3 code blocks
[gtm-positioning-strategy]    ⚠  Skill is 3,189 BPE tokens (chars/4 estimate: 3,545) — approaching "comprehensive" range where gains diminish.
[msstore-cli] 📊 msstore-cli: 3,864 BPE tokens [chars/4: 4,074] (standard ~), 87 sections, 37 code blocks
[msstore-cli]    ⚠  Skill is 3,864 BPE tokens (chars/4 estimate: 4,074) — approaching "comprehensive" range where gains diminish.
[update-markdown-file-index] 📊 update-markdown-file-index: 573 BPE tokens [chars/4: 664] (detailed ✓), 11 sections, 1 code blocks
�[31m❌ [update-markdown-file-index] File reference 'path/to/filename.ext' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [update-markdown-file-index] File reference 'path/to/filename2.ext' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [update-markdown-file-index] File reference 'path/to/filename.ext' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [update-markdown-file-index] File reference 'path/to/filename2.ext' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[playwright-automation-fill-in-form] 📊 playwright-automation-fill-in-form: 158 BPE tokens [chars/4: 163] (compact ✓), 3 sections, 0 code blocks
[playwright-automation-fill-in-form]    ⚠  Skill is only 158 BPE tokens (chars/4 estimate: 163) — may be too sparse to provide actionable guidance.
[playwright-automation-fill-in-form]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dataverse-python-usecase-builder] 📊 dataverse-python-usecase-builder: 1,538 BPE tokens [chars/4: 1,684] (detailed ✓), 38 sections, 5 code blocks
[aws-resource-health-diagnose] 📊 aws-resource-health-diagnose: 1,695 BPE tokens [chars/4: 1,743] (detailed ✓), 31 sections, 5 code blocks
[refactor-method-complexity-reduce] 📊 refactor-method-complexity-reduce: 932 BPE tokens [chars/4: 1,108] (detailed ✓), 7 sections, 0 code blocks
[refactor-method-complexity-reduce]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[mentoring-juniors] 📊 mentoring-juniors: 3,400 BPE tokens [chars/4: 3,481] (standard ~), 31 sections, 2 code blocks
[mentoring-juniors]    ⚠  Skill is 3,400 BPE tokens (chars/4 estimate: 3,481) — approaching "comprehensive" range where gains diminish.
[dataverse-python-advanced-patterns] 📊 dataverse-python-advanced-patterns: 242 BPE tokens [chars/4: 291] (compact ✓), 0 sections, 0 code blocks
[dataverse-python-advanced-patterns]    ⚠  No section headers — agents navigate structured documents better.
[dataverse-python-advanced-patterns]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[repo-story-time] 📊 repo-story-time: 1,464 BPE tokens [chars/4: 1,669] (detailed ✓), 27 sections, 2 code blocks
[python-azure-iot-edge-modules] 📊 python-azure-iot-edge-modules: 847 BPE tokens [chars/4: 1,045] (detailed ✓), 16 sections, 0 code blocks
[python-azure-iot-edge-modules]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[aspire] 📊 aspire: 2,386 BPE tokens [chars/4: 2,335] (detailed ✓), 20 sections, 3 code blocks
[scoutqa-test] 📊 scoutqa-test: 3,056 BPE tokens [chars/4: 3,472] (standard ~), 24 sections, 19 code blocks
[scoutqa-test]    ⚠  Skill is 3,056 BPE tokens (chars/4 estimate: 3,472) — approaching "comprehensive" range where gains diminish.
[pytest-coverage] 📊 pytest-coverage: 253 BPE tokens [chars/4: 282] (compact ✓), 0 sections, 0 code blocks
[pytest-coverage]    ⚠  No section headers — agents navigate structured documents better.
[pytest-coverage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[pytest-coverage]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[comment-code-generate-a-tutorial] 📊 comment-code-generate-a-tutorial: 287 BPE tokens [chars/4: 348] (compact ✓), 0 sections, 0 code blocks
[comment-code-generate-a-tutorial]    ⚠  No section headers — agents navigate structured documents better.
[comment-code-generate-a-tutorial]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[codeql] 📊 codeql: 3,212 BPE tokens [chars/4: 3,355] (standard ~), 41 sections, 19 code blocks
[codeql]    ⚠  Skill is 3,212 BPE tokens (chars/4 estimate: 3,355) — approaching "comprehensive" range where gains diminish.
[codeql]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[shuffle-json-data] 📊 shuffle-json-data: 945 BPE tokens [chars/4: 1,119] (detailed ✓), 14 sections, 4 code blocks
[sandbox-npm-install] 📊 sandbox-npm-install: 875 BPE tokens [chars/4: 951] (detailed ✓), 11 sections, 2 code blocks
[convert-plaintext-to-md] 📊 convert-plaintext-to-md: 2,688 BPE tokens [chars/4: 2,849] (standard ~), 19 sections, 21 code blocks
[convert-plaintext-to-md]    ⚠  Skill is 2,688 BPE tokens (chars/4 estimate: 2,849) — approaching "comprehensive" range where gains diminish.
[aspnet-minimal-api-openapi] 📊 aspnet-minimal-api-openapi: 343 BPE tokens [chars/4: 439] (compact ✓), 5 sections, 0 code blocks
[aspnet-minimal-api-openapi]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[aspnet-minimal-api-openapi]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[planning-oracle-to-postgres-migration-integration-testing] 📊 planning-oracle-to-postgres-migration-integration-testing: 438 BPE tokens [chars/4: 547] (detailed ✓), 4 sections, 1 code blocks
[planning-oracle-to-postgres-migration-integration-testing]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[devops-rollout-plan] 📊 devops-rollout-plan: 845 BPE tokens [chars/4: 999] (detailed ✓), 19 sections, 0 code blocks
[devops-rollout-plan]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[devops-rollout-plan]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[linkedin-post-formatter] 📊 linkedin-post-formatter: 1,531 BPE tokens [chars/4: 1,411] (detailed ✓), 15 sections, 4 code blocks
[qdrant-deployment-options] 📊 qdrant-deployment-options: 676 BPE tokens [chars/4: 775] (detailed ✓), 6 sections, 0 code blocks
[qdrant-deployment-options]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-deployment-options]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[from-the-other-side-anitta] 📊 from-the-other-side-anitta: 788 BPE tokens [chars/4: 999] (detailed ✓), 15 sections, 0 code blocks
[from-the-other-side-anitta]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[vscode-ext-localization] 📊 vscode-ext-localization: 294 BPE tokens [chars/4: 369] (compact ✓), 3 sections, 0 code blocks
[vscode-ext-localization]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[gtm-partnership-architecture] 📊 gtm-partnership-architecture: 3,513 BPE tokens [chars/4: 3,957] (standard ~), 17 sections, 4 code blocks
[gtm-partnership-architecture]    ⚠  Skill is 3,513 BPE tokens (chars/4 estimate: 3,957) — approaching "comprehensive" range where gains diminish.
[legacy-circuit-mockups] 📊 legacy-circuit-mockups: 2,684 BPE tokens [chars/4: 2,304] (standard ~), 30 sections, 3 code blocks
[legacy-circuit-mockups]    ⚠  Skill is 2,684 BPE tokens (chars/4 estimate: 2,304) — approaching "comprehensive" range where gains diminish.
[github-codespaces-efficiency] 📊 github-codespaces-efficiency: 1,019 BPE tokens [chars/4: 1,166] (detailed ✓), 10 sections, 1 code blocks
[react18-lifecycle-patterns] 📊 react18-lifecycle-patterns: 768 BPE tokens [chars/4: 910] (detailed ✓), 7 sections, 1 code blocks
[react18-lifecycle-patterns]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[dotnet-best-practices] 📊 dotnet-best-practices: 602 BPE tokens [chars/4: 808] (detailed ✓), 12 sections, 0 code blocks
[dotnet-best-practices]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-best-practices]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[winui3-migration-guide] 📊 winui3-migration-guide: 2,196 BPE tokens [chars/4: 2,226] (detailed ✓), 18 sections, 13 code blocks
[mcp-create-adaptive-cards] 📊 mcp-create-adaptive-cards: 2,949 BPE tokens [chars/4: 3,136] (standard ~), 33 sections, 22 code blocks
[mcp-create-adaptive-cards]    ⚠  Skill is 2,949 BPE tokens (chars/4 estimate: 3,136) — approaching "comprehensive" range where gains diminish.
[creating-oracle-to-postgres-master-migration-plan] 📊 creating-oracle-to-postgres-master-migration-plan: 755 BPE tokens [chars/4: 790] (detailed ✓), 6 sections, 2 code blocks
[power-bi-dax-optimization] 📊 power-bi-dax-optimization: 1,114 BPE tokens [chars/4: 1,390] (detailed ✓), 18 sections, 6 code blocks
[penpot-uiux-design] 📊 penpot-uiux-design: 3,063 BPE tokens [chars/4: 3,026] (standard ~), 33 sections, 6 code blocks
[penpot-uiux-design]    ⚠  Skill is 3,063 BPE tokens (chars/4 estimate: 3,026) — approaching "comprehensive" range where gains diminish.
[snowflake-semanticview] 📊 snowflake-semanticview: 932 BPE tokens [chars/4: 1,103] (detailed ✓), 8 sections, 4 code blocks
[first-ask] 📊 first-ask: 326 BPE tokens [chars/4: 394] (compact ✓), 1 sections, 0 code blocks
[first-ask]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[gtm-developer-ecosystem] 📊 gtm-developer-ecosystem: 2,071 BPE tokens [chars/4: 2,310] (detailed ✓), 15 sections, 2 code blocks
[folder-structure-blueprint-generator] 📊 folder-structure-blueprint-generator: 2,927 BPE tokens [chars/4: 3,470] (standard ~), 14 sections, 0 code blocks
[folder-structure-blueprint-generator]    ⚠  Skill is 2,927 BPE tokens (chars/4 estimate: 3,470) — approaching "comprehensive" range where gains diminish.
[folder-structure-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[folder-structure-blueprint-generator]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[winmd-api-search] 📊 winmd-api-search: 2,086 BPE tokens [chars/4: 2,177] (detailed ✓), 21 sections, 4 code blocks
[gtm-board-and-investor-communication] 📊 gtm-board-and-investor-communication: 4,318 BPE tokens [chars/4: 4,657] (standard ~), 17 sections, 2 code blocks
[gtm-board-and-investor-communication]    ⚠  Skill is 4,318 BPE tokens (chars/4 estimate: 4,657) — approaching "comprehensive" range where gains diminish.
[make-repo-contribution] 📊 make-repo-contribution: 1,301 BPE tokens [chars/4: 1,599] (detailed ✓), 11 sections, 0 code blocks
[make-repo-contribution]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
�[31mSkill spec conformance failures — fix the errors above.�[0m

[github-actions[bot]]

Agents

Found 217 agent(s)
�[31m❌ [agent:GitHub Actions Node Runtime Upgrade] Agent name 'GitHub Actions Node Runtime Upgrade' does not match filename 'github-actions-node-upgrade.agent.md' (expected 'GitHub Actions Node Runtime Upgrade.agent.md').�[0m
�[31m❌ [agent:GitHub Actions Node Runtime Upgrade] Agent name 'GitHub Actions Node Runtime Upgrade' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Rust MCP Expert] Agent name 'Rust MCP Expert' does not match filename 'rust-mcp-expert.agent.md' (expected 'Rust MCP Expert.agent.md').�[0m
�[31m❌ [agent:Rust MCP Expert] Agent name 'Rust MCP Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Task Researcher Instructions] Agent name 'Task Researcher Instructions' does not match filename 'task-researcher.agent.md' (expected 'Task Researcher Instructions.agent.md').�[0m
�[31m❌ [agent:Task Researcher Instructions] Agent name 'Task Researcher Instructions' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:elasticsearch-agent] Agent name 'elasticsearch-agent' does not match filename 'elasticsearch-observability.agent.md' (expected 'elasticsearch-agent.agent.md').�[0m
�[31m❌ [agent:Accessibility Expert] Agent name 'Accessibility Expert' does not match filename 'accessibility.agent.md' (expected 'Accessibility Expert.agent.md').�[0m
�[31m❌ [agent:Accessibility Expert] Agent name 'Accessibility Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Gilfoyle Code Review Mode] Agent name 'Gilfoyle Code Review Mode' does not match filename 'gilfoyle.agent.md' (expected 'Gilfoyle Code Review Mode.agent.md').�[0m
�[31m❌ [agent:Gilfoyle Code Review Mode] Agent name 'Gilfoyle Code Review Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Power Platform Expert] Agent name 'Power Platform Expert' does not match filename 'power-platform-expert.agent.md' (expected 'Power Platform Expert.agent.md').�[0m
�[31m❌ [agent:Power Platform Expert] Agent name 'Power Platform Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Critical thinking mode instructions] Agent name 'Critical thinking mode instructions' does not match filename 'critical-thinking.agent.md' (expected 'Critical thinking mode instructions.agent.md').�[0m
�[31m❌ [agent:Critical thinking mode instructions] Agent name 'Critical thinking mode instructions' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:KubeStellar Console] Agent name 'KubeStellar Console' does not match filename 'kubestellar-console.agent.md' (expected 'KubeStellar Console.agent.md').�[0m
�[31m❌ [agent:KubeStellar Console] Agent name 'KubeStellar Console' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Neon Migration Specialist] Agent name 'Neon Migration Specialist' does not match filename 'neon-migration-specialist.agent.md' (expected 'Neon Migration Specialist.agent.md').�[0m
�[31m❌ [agent:Neon Migration Specialist] Agent name 'Neon Migration Specialist' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Expert Vue.js Frontend Engineer] Agent name 'Expert Vue.js Frontend Engineer' does not match filename 'vuejs-expert.agent.md' (expected 'Expert Vue.js Frontend Engineer.agent.md').�[0m
�[31m❌ [agent:Expert Vue.js Frontend Engineer] Agent name 'Expert Vue.js Frontend Engineer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Idea Generator] Agent name 'Idea Generator' does not match filename 'simple-app-idea-generator.agent.md' (expected 'Idea Generator.agent.md').�[0m
�[31m❌ [agent:Idea Generator] Agent name 'Idea Generator' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Python MCP Server Expert] Agent name 'Python MCP Server Expert' does not match filename 'python-mcp-expert.agent.md' (expected 'Python MCP Server Expert.agent.md').�[0m
�[31m❌ [agent:Python MCP Server Expert] Agent name 'Python MCP Server Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:JFrog Security Agent] Agent name 'JFrog Security Agent' does not match filename 'jfrog-sec.agent.md' (expected 'JFrog Security Agent.agent.md').�[0m
�[31m❌ [agent:JFrog Security Agent] Agent name 'JFrog Security Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Oracle-to-PostgreSQL Migration Expert] Agent name 'Oracle-to-PostgreSQL Migration Expert' does not match filename 'oracle-to-postgres-migration-expert.agent.md' (expected 'Oracle-to-PostgreSQL Migration Expert.agent.md').�[0m
�[31m❌ [agent:Oracle-to-PostgreSQL Migration Expert] Agent name 'Oracle-to-PostgreSQL Migration Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Terratest Module Testing] Agent name 'Terratest Module Testing' does not match filename 'terratest-module-testing.agent.md' (expected 'Terratest Module Testing.agent.md').�[0m
�[31m❌ [agent:Terratest Module Testing] Agent name 'Terratest Module Testing' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Accessibility Runtime Tester] Agent name 'Accessibility Runtime Tester' does not match filename 'accessibility-runtime-tester.agent.md' (expected 'Accessibility Runtime Tester.agent.md').�[0m
�[31m❌ [agent:Accessibility Runtime Tester] Agent name 'Accessibility Runtime Tester' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:WG Code Sentinel] Agent name 'WG Code Sentinel' does not match filename 'wg-code-sentinel.agent.md' (expected 'WG Code Sentinel.agent.md').�[0m
�[31m❌ [agent:WG Code Sentinel] Agent name 'WG Code Sentinel' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:CentOS Linux Expert] Agent name 'CentOS Linux Expert' does not match filename 'centos-linux-expert.agent.md' (expected 'CentOS Linux Expert.agent.md').�[0m
�[31m❌ [agent:CentOS Linux Expert] Agent name 'CentOS Linux Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Project Architecture Planner] Agent name 'Project Architecture Planner' does not match filename 'project-architecture-planner.agent.md' (expected 'Project Architecture Planner.agent.md').�[0m
�[31m❌ [agent:Project Architecture Planner] Agent name 'Project Architecture Planner' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:SE: Product Manager] Agent name 'SE: Product Manager' does not match filename 'se-product-manager-advisor.agent.md' (expected 'SE: Product Manager.agent.md').�[0m
�[31m❌ [agent:SE: Product Manager] Agent name 'SE: Product Manager' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Dynatrace Expert] Agent name 'Dynatrace Expert' does not match filename 'dynatrace-expert.agent.md' (expected 'Dynatrace Expert.agent.md').�[0m
�[31m❌ [agent:Dynatrace Expert] Agent name 'Dynatrace Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Markdown Accessibility Assistant] Agent name 'Markdown Accessibility Assistant' does not match filename 'markdown-accessibility-assistant.agent.md' (expected 'Markdown Accessibility Assistant.agent.md').�[0m
�[31m❌ [agent:Markdown Accessibility Assistant] Agent name 'Markdown Accessibility Assistant' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Salesforce Apex & Triggers Development] Agent name 'Salesforce Apex & Triggers Development' does not match filename 'salesforce-apex-triggers.agent.md' (expected 'Salesforce Apex & Triggers Development.agent.md').�[0m
�[31m❌ [agent:Salesforce Apex & Triggers Development] Agent name 'Salesforce Apex & Triggers Development' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:TDD Red Phase - Write Failing Tests First] Agent name 'TDD Red Phase - Write Failing Tests First' does not match filename 'tdd-red.agent.md' (expected 'TDD Red Phase - Write Failing Tests First.agent.md').�[0m
�[31m❌ [agent:TDD Red Phase - Write Failing Tests First] Agent name 'TDD Red Phase - Write Failing Tests First' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Devils Advocate] Agent name 'Devils Advocate' does not match filename 'devils-advocate.agent.md' (expected 'Devils Advocate.agent.md').�[0m
�[31m❌ [agent:Devils Advocate] Agent name 'Devils Advocate' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Technical Debt Remediation Plan] Agent name 'Technical Debt Remediation Plan' does not match filename 'tech-debt-remediation-plan.agent.md' (expected 'Technical Debt Remediation Plan.agent.md').�[0m
�[31m❌ [agent:Technical Debt Remediation Plan] Agent name 'Technical Debt Remediation Plan' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:PySpark Expert Agent] Agent name 'PySpark Expert Agent' does not match filename 'spark-performance.agent.md' (expected 'PySpark Expert Agent.agent.md').�[0m
�[31m❌ [agent:PySpark Expert Agent] Agent name 'PySpark Expert Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Terraform Agent] Agent name 'Terraform Agent' does not match filename 'terraform.agent.md' (expected 'Terraform Agent.agent.md').�[0m
�[31m❌ [agent:Terraform Agent] Agent name 'Terraform Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:API Architect] Agent name 'API Architect' does not match filename 'api-architect.agent.md' (expected 'API Architect.agent.md').�[0m
�[31m❌ [agent:API Architect] Agent name 'API Architect' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:WG Code Alchemist] Agent name 'WG Code Alchemist' does not match filename 'wg-code-alchemist.agent.md' (expected 'WG Code Alchemist.agent.md').�[0m
�[31m❌ [agent:WG Code Alchemist] Agent name 'WG Code Alchemist' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:LinkedIn Post Writer] Agent name 'LinkedIn Post Writer' does not match filename 'linkedin-post-writer.agent.md' (expected 'LinkedIn Post Writer.agent.md').�[0m
�[31m❌ [agent:LinkedIn Post Writer] Agent name 'LinkedIn Post Writer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:C#/.NET Janitor] Agent name 'C#/.NET Janitor' does not match filename 'csharp-dotnet-janitor.agent.md' (expected 'C#/.NET Janitor.agent.md').�[0m
�[31m❌ [agent:C#/.NET Janitor] Agent name 'C#/.NET Janitor' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:TDD Refactor Phase - Improve Quality & Security] Agent name 'TDD Refactor Phase - Improve Quality & Security' does not match filename 'tdd-refactor.agent.md' (expected 'TDD Refactor Phase - Improve Quality & Security.agent.md').�[0m
�[31m❌ [agent:TDD Refactor Phase - Improve Quality & Security] Agent name 'TDD Refactor Phase - Improve Quality & Security' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Power BI Visualization Expert Mode] Agent name 'Power BI Visualization Expert Mode' does not match filename 'power-bi-visualization-expert.agent.md' (expected 'Power BI Visualization Expert Mode.agent.md').�[0m
�[31m❌ [agent:Power BI Visualization Expert Mode] Agent name 'Power BI Visualization Expert Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Context Architect] Agent name 'Context Architect' does not match filename 'context-architect.agent.md' (expected 'Context Architect.agent.md').�[0m
�[31m❌ [agent:Context Architect] Agent name 'Context Architect' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Power BI Performance Expert Mode] Agent name 'Power BI Performance Expert Mode' does not match filename 'power-bi-performance-expert.agent.md' (expected 'Power BI Performance Expert Mode.agent.md').�[0m
�[31m❌ [agent:Power BI Performance Expert Mode] Agent name 'Power BI Performance Expert Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Project Documenter] Agent name 'Project Documenter' does not match filename 'project-documenter.agent.md' (expected 'Project Documenter.agent.md').�[0m
�[31m❌ [agent:Project Documenter] Agent name 'Project Documenter' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Thinking Beast Mode] Agent name 'Thinking Beast Mode' does not match filename 'Thinking-Beast-Mode.agent.md' (expected 'Thinking Beast Mode.agent.md').�[0m
�[31m❌ [agent:Thinking Beast Mode] Agent name 'Thinking Beast Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:arm-migration-agent] Agent name 'arm-migration-agent' does not match filename 'arm-migration.agent.md' (expected 'arm-migration-agent.agent.md').�[0m
�[31m❌ [agent:Caveman Mode] Agent name 'Caveman Mode' does not match filename 'caveman-mode.agent.md' (expected 'Caveman Mode.agent.md').�[0m
�[31m❌ [agent:Caveman Mode] Agent name 'Caveman Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:PagerDuty Incident Responder] Agent name 'PagerDuty Incident Responder' does not match filename 'pagerduty-incident-responder.agent.md' (expected 'PagerDuty Incident Responder.agent.md').�[0m
�[31m❌ [agent:PagerDuty Incident Responder] Agent name 'PagerDuty Incident Responder' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Context7-Expert] Agent name 'Context7-Expert' does not match filename 'context7.agent.md' (expected 'Context7-Expert.agent.md').�[0m
�[31m❌ [agent:Context7-Expert] Agent name 'Context7-Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Meta Agentic Project Scaffold] Agent name 'Meta Agentic Project Scaffold' does not match filename 'meta-agentic-project-scaffold.agent.md' (expected 'Meta Agentic Project Scaffold.agent.md').�[0m
�[31m❌ [agent:Meta Agentic Project Scaffold] Agent name 'Meta Agentic Project Scaffold' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:WinForms Expert] Agent name 'WinForms Expert' does not match filename 'WinFormsExpert.agent.md' (expected 'WinForms Expert.agent.md').�[0m
�[31m❌ [agent:WinForms Expert] Agent name 'WinForms Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Universal PR Comment Addresser] Agent name 'Universal PR Comment Addresser' does not match filename 'address-comments.agent.md' (expected 'Universal PR Comment Addresser.agent.md').�[0m
�[31m❌ [agent:Universal PR Comment Addresser] Agent name 'Universal PR Comment Addresser' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Frontend Performance Investigator] Agent name 'Frontend Performance Investigator' does not match filename 'frontend-performance-investigator.agent.md' (expected 'Frontend Performance Investigator.agent.md').�[0m
�[31m❌ [agent:Frontend Performance Investigator] Agent name 'Frontend Performance Investigator' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:PostgreSQL Database Administrator] Agent name 'PostgreSQL Database Administrator' does not match filename 'postgresql-dba.agent.md' (expected 'PostgreSQL Database Administrator.agent.md').�[0m
�[31m❌ [agent:PostgreSQL Database Administrator] Agent name 'PostgreSQL Database Administrator' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:QA] Agent name 'QA' does not match filename 'qa-subagent.agent.md' (expected 'QA.agent.md').�[0m
�[31m❌ [agent:QA] Agent name 'QA' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Azure AVM Bicep mode] Agent name 'Azure AVM Bicep mode' does not match filename 'azure-verified-modules-bicep.agent.md' (expected 'Azure AVM Bicep mode.agent.md').�[0m
�[31m❌ [agent:Azure AVM Bicep mode] Agent name 'Azure AVM Bicep mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Laravel Expert Agent] Agent name 'Laravel Expert Agent' does not match filename 'laravel-expert-agent.agent.md' (expected 'Laravel Expert Agent.agent.md').�[0m
�[31m❌ [agent:Laravel Expert Agent] Agent name 'Laravel Expert Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:RUG] Agent name 'RUG' does not match filename 'rug-orchestrator.agent.md' (expected 'RUG.agent.md').�[0m
�[31m❌ [agent:RUG] Agent name 'RUG' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Playwright Tester Mode] Agent name 'Playwright Tester Mode' does not match filename 'playwright-tester.agent.md' (expected 'Playwright Tester Mode.agent.md').�[0m
�[31m❌ [agent:Playwright Tester Mode] Agent name 'Playwright Tester Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Pimcore Expert] Agent name 'Pimcore Expert' does not match filename 'pimcore-expert.agent.md' (expected 'Pimcore Expert.agent.md').�[0m
�[31m❌ [agent:Pimcore Expert] Agent name 'Pimcore Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Salesforce Expert Agent] Agent name 'Salesforce Expert Agent' does not match filename 'salesforce-expert.agent.md' (expected 'Salesforce Expert Agent.agent.md').�[0m
�[31m❌ [agent:Salesforce Expert Agent] Agent name 'Salesforce Expert Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:C# Expert] Agent name 'C# Expert' does not match filename 'CSharpExpert.agent.md' (expected 'C# Expert.agent.md').�[0m
�[31m❌ [agent:C# Expert] Agent name 'C# Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Power BI DAX Expert Mode] Agent name 'Power BI DAX Expert Mode' does not match filename 'power-bi-dax-expert.agent.md' (expected 'Power BI DAX Expert Mode.agent.md').�[0m
�[31m❌ [agent:Power BI DAX Expert Mode] Agent name 'Power BI DAX Expert Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:CAST Imaging Structural Quality Advisor Agent] Agent name 'CAST Imaging Structural Quality Advisor Agent' does not match filename 'cast-imaging-structural-quality-advisor.agent.md' (expected 'CAST Imaging Structural Quality Advisor Agent.agent.md').�[0m
�[31m❌ [agent:CAST Imaging Structural Quality Advisor Agent] Agent name 'CAST Imaging Structural Quality Advisor Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Platform SRE for Kubernetes] Agent name 'Platform SRE for Kubernetes' does not match filename 'platform-sre-kubernetes.agent.md' (expected 'Platform SRE for Kubernetes.agent.md').�[0m
�[31m❌ [agent:Platform SRE for Kubernetes] Agent name 'Platform SRE for Kubernetes' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Principal software engineer] Agent name 'Principal software engineer' does not match filename 'principal-software-engineer.agent.md' (expected 'Principal software engineer.agent.md').�[0m
�[31m❌ [agent:Principal software engineer] Agent name 'Principal software engineer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Custom Agent Foundry] Agent name 'Custom Agent Foundry' does not match filename 'custom-agent-foundry.agent.md' (expected 'Custom Agent Foundry.agent.md').�[0m
�[31m❌ [agent:Custom Agent Foundry] Agent name 'Custom Agent Foundry' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Terraform IaC Reviewer] Agent name 'Terraform IaC Reviewer' does not match filename 'terraform-iac-reviewer.agent.md' (expected 'Terraform IaC Reviewer.agent.md').�[0m
�[31m❌ [agent:Terraform IaC Reviewer] Agent name 'Terraform IaC Reviewer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:PHP MCP Expert] Agent name 'PHP MCP Expert' does not match filename 'php-mcp-expert.agent.md' (expected 'PHP MCP Expert.agent.md').�[0m
�[31m❌ [agent:PHP MCP Expert] Agent name 'PHP MCP Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Implementation Plan Generation Mode] Agent name 'Implementation Plan Generation Mode' does not match filename 'implementation-plan.agent.md' (expected 'Implementation Plan Generation Mode.agent.md').�[0m
�[31m❌ [agent:Implementation Plan Generation Mode] Agent name 'Implementation Plan Generation Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Power BI Data Modeling Expert Mode] Agent name 'Power BI Data Modeling Expert Mode' does not match filename 'power-bi-data-modeling-expert.agent.md' (expected 'Power BI Data Modeling Expert Mode.agent.md').�[0m
�[31m❌ [agent:Power BI Data Modeling Expert Mode] Agent name 'Power BI Data Modeling Expert Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Task Planner Instructions] Agent name 'Task Planner Instructions' does not match filename 'task-planner.agent.md' (expected 'Task Planner Instructions.agent.md').�[0m
�[31m❌ [agent:Task Planner Instructions] Agent name 'Task Planner Instructions' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Refine Requirement or Issue] Agent name 'Refine Requirement or Issue' does not match filename 'refine-issue.agent.md' (expected 'Refine Requirement or Issue.agent.md').�[0m
�[31m❌ [agent:Refine Requirement or Issue] Agent name 'Refine Requirement or Issue' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Swift MCP Expert] Agent name 'Swift MCP Expert' does not match filename 'swift-mcp-expert.agent.md' (expected 'Swift MCP Expert.agent.md').�[0m
�[31m❌ [agent:Swift MCP Expert] Agent name 'Swift MCP Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Bicep Planning] Agent name 'Bicep Planning' does not match filename 'bicep-plan.agent.md' (expected 'Bicep Planning.agent.md').�[0m
�[31m❌ [agent:Bicep Planning] Agent name 'Bicep Planning' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:SE: Architect] Agent name 'SE: Architect' does not match filename 'se-system-architecture-reviewer.agent.md' (expected 'SE: Architect.agent.md').�[0m
�[31m❌ [agent:SE: Architect] Agent name 'SE: Architect' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Ember] Agent name 'Ember' does not match filename 'ember.agent.md' (expected 'Ember.agent.md').�[0m
�[31m❌ [agent:Ember] Agent name 'Ember' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:CAST Imaging Software Discovery Agent] Agent name 'CAST Imaging Software Discovery Agent' does not match filename 'cast-imaging-software-discovery.agent.md' (expected 'CAST Imaging Software Discovery Agent.agent.md').�[0m
�[31m❌ [agent:CAST Imaging Software Discovery Agent] Agent name 'CAST Imaging Software Discovery Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:SWE] Agent name 'SWE' does not match filename 'swe-subagent.agent.md' (expected 'SWE.agent.md').�[0m
�[31m❌ [agent:SWE] Agent name 'SWE' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Drupal Expert] Agent name 'Drupal Expert' does not match filename 'drupal-expert.agent.md' (expected 'Drupal Expert.agent.md').�[0m
�[31m❌ [agent:Drupal Expert] Agent name 'Drupal Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Sensei - Junior Mentor] Agent name 'Sensei - Junior Mentor' does not match filename 'mentoring-juniors.agent.md' (expected 'Sensei - Junior Mentor.agent.md').�[0m
�[31m❌ [agent:Sensei - Junior Mentor] Agent name 'Sensei - Junior Mentor' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Fedora Linux Expert] Agent name 'Fedora Linux Expert' does not match filename 'fedora-linux-expert.agent.md' (expected 'Fedora Linux Expert.agent.md').�[0m
�[31m❌ [agent:Fedora Linux Expert] Agent name 'Fedora Linux Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Search & AI Optimization Expert] Agent name 'Search & AI Optimization Expert' does not match filename 'search-ai-optimization-expert.agent.md' (expected 'Search & AI Optimization Expert.agent.md').�[0m
�[31m❌ [agent:Search & AI Optimization Expert] Agent name 'Search & AI Optimization Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Debian Linux Expert] Agent name 'Debian Linux Expert' does not match filename 'debian-linux-expert.agent.md' (expected 'Debian Linux Expert.agent.md').�[0m
�[31m❌ [agent:Debian Linux Expert] Agent name 'Debian Linux Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:MCP M365 Agent Expert] Agent name 'MCP M365 Agent Expert' does not match filename 'mcp-m365-agent-expert.agent.md' (expected 'MCP M365 Agent Expert.agent.md').�[0m
�[31m❌ [agent:MCP M365 Agent Expert] Agent name 'MCP M365 Agent Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Prompt Engineer] Agent name 'Prompt Engineer' does not match filename 'prompt-engineer.agent.md' (expected 'Prompt Engineer.agent.md').�[0m
�[31m❌ [agent:Prompt Engineer] Agent name 'Prompt Engineer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Azure SaaS Architect mode instructions] Agent name 'Azure SaaS Architect mode instructions' does not match filename 'azure-saas-architect.agent.md' (expected 'Azure SaaS Architect mode instructions.agent.md').�[0m
�[31m❌ [agent:Azure SaaS Architect mode instructions] Agent name 'Azure SaaS Architect mode instructions' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Scientific Paper Research] Agent name 'Scientific Paper Research' does not match filename 'scientific-paper-research.agent.md' (expected 'Scientific Paper Research.agent.md').�[0m
�[31m❌ [agent:Scientific Paper Research] Agent name 'Scientific Paper Research' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:High-Level Big Picture Architect (HLBPA)] Agent name 'High-Level Big Picture Architect (HLBPA)' does not match filename 'hlbpa.agent.md' (expected 'High-Level Big Picture Architect (HLBPA).agent.md').�[0m
�[31m❌ [agent:High-Level Big Picture Architect (HLBPA)] Agent name 'High-Level Big Picture Architect (HLBPA)' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Monday Bug Context Fixer] Agent name 'Monday Bug Context Fixer' does not match filename 'monday-bug-fixer.agent.md' (expected 'Monday Bug Context Fixer.agent.md').�[0m
�[31m❌ [agent:Monday Bug Context Fixer] Agent name 'Monday Bug Context Fixer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:GitHub Actions Expert] Agent name 'GitHub Actions Expert' does not match filename 'github-actions-expert.agent.md' (expected 'GitHub Actions Expert.agent.md').�[0m
�[31m❌ [agent:GitHub Actions Expert] Agent name 'GitHub Actions Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:.NET Self-Learning Architect] Agent name '.NET Self-Learning Architect' does not match filename 'dotnet-self-learning-architect.agent.md' (expected '.NET Self-Learning Architect.agent.md').�[0m
�[31m❌ [agent:.NET Self-Learning Architect] Agent name '.NET Self-Learning Architect' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Senior Cloud Architect] Agent name 'Senior Cloud Architect' does not match filename 'arch.agent.md' (expected 'Senior Cloud Architect.agent.md').�[0m
�[31m❌ [agent:Senior Cloud Architect] Agent name 'Senior Cloud Architect' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Shopify Expert] Agent name 'Shopify Expert' does not match filename 'shopify-expert.agent.md' (expected 'Shopify Expert.agent.md').�[0m
�[31m❌ [agent:Shopify Expert] Agent name 'Shopify Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Create PRD Chat Mode] Agent name 'Create PRD Chat Mode' does not match filename 'prd.agent.md' (expected 'Create PRD Chat Mode.agent.md').�[0m
�[31m❌ [agent:Create PRD Chat Mode] Agent name 'Create PRD Chat Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Comet Opik] Agent name 'Comet Opik' does not match filename 'comet-opik.agent.md' (expected 'Comet Opik.agent.md').�[0m
�[31m❌ [agent:Comet Opik] Agent name 'Comet Opik' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Power Platform MCP Integration Expert] Agent name 'Power Platform MCP Integration Expert' does not match filename 'power-platform-mcp-integration-expert.agent.md' (expected 'Power Platform MCP Integration Expert.agent.md').�[0m
�[31m❌ [agent:Power Platform MCP Integration Expert] Agent name 'Power Platform MCP Integration Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Azure Terraform Infrastructure Planning] Agent name 'Azure Terraform Infrastructure Planning' does not match filename 'terraform-azure-planning.agent.md' (expected 'Azure Terraform Infrastructure Planning.agent.md').�[0m
�[31m❌ [agent:Azure Terraform Infrastructure Planning] Agent name 'Azure Terraform Infrastructure Planning' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Azure Principal Architect mode instructions] Agent name 'Azure Principal Architect mode instructions' does not match filename 'azure-principal-architect.agent.md' (expected 'Azure Principal Architect mode instructions.agent.md').�[0m
�[31m❌ [agent:Azure Principal Architect mode instructions] Agent name 'Azure Principal Architect mode instructions' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Universal Janitor] Agent name 'Universal Janitor' does not match filename 'janitor.agent.md' (expected 'Universal Janitor.agent.md').�[0m
�[31m❌ [agent:Universal Janitor] Agent name 'Universal Janitor' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Ruby MCP Expert] Agent name 'Ruby MCP Expert' does not match filename 'ruby-mcp-expert.agent.md' (expected 'Ruby MCP Expert.agent.md').�[0m
�[31m❌ [agent:Ruby MCP Expert] Agent name 'Ruby MCP Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:TaxCore Technical Writer] Agent name 'TaxCore Technical Writer' does not match filename 'taxcore-technical-writer.agent.md' (expected 'TaxCore Technical Writer.agent.md').�[0m
�[31m❌ [agent:TaxCore Technical Writer] Agent name 'TaxCore Technical Writer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:SE: Tech Writer] Agent name 'SE: Tech Writer' does not match filename 'se-technical-writer.agent.md' (expected 'SE: Tech Writer.agent.md').�[0m
�[31m❌ [agent:SE: Tech Writer] Agent name 'SE: Tech Writer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:TDD Green Phase - Make Tests Pass Quickly] Agent name 'TDD Green Phase - Make Tests Pass Quickly' does not match filename 'tdd-green.agent.md' (expected 'TDD Green Phase - Make Tests Pass Quickly.agent.md').�[0m
�[31m❌ [agent:TDD Green Phase - Make Tests Pass Quickly] Agent name 'TDD Green Phase - Make Tests Pass Quickly' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:TypeScript MCP Server Expert] Agent name 'TypeScript MCP Server Expert' does not match filename 'typescript-mcp-expert.agent.md' (expected 'TypeScript MCP Server Expert.agent.md').�[0m
�[31m❌ [agent:TypeScript MCP Server Expert] Agent name 'TypeScript MCP Server Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Debug Mode Instructions] Agent name 'Debug Mode Instructions' does not match filename 'debug.agent.md' (expected 'Debug Mode Instructions.agent.md').�[0m
�[31m❌ [agent:Debug Mode Instructions] Agent name 'Debug Mode Instructions' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:OpenAPI to Application Generator] Agent name 'OpenAPI to Application Generator' does not match filename 'openapi-to-application.agent.md' (expected 'OpenAPI to Application Generator.agent.md').�[0m
�[31m❌ [agent:OpenAPI to Application Generator] Agent name 'OpenAPI to Application Generator' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Prompt Builder] Agent name 'Prompt Builder' does not match filename 'prompt-builder.agent.md' (expected 'Prompt Builder.agent.md').�[0m
�[31m❌ [agent:Prompt Builder] Agent name 'Prompt Builder' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Azure Smart City IoT Architect] Agent name 'Azure Smart City IoT Architect' does not match filename 'azure-smart-city-iot-architect.agent.md' (expected 'Azure Smart City IoT Architect.agent.md').�[0m
�[31m❌ [agent:Azure Smart City IoT Architect] Agent name 'Azure Smart City IoT Architect' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Software Engineer Agent] Agent name 'Software Engineer Agent' does not match filename 'software-engineer-agent-v1.agent.md' (expected 'Software Engineer Agent.agent.md').�[0m
�[31m❌ [agent:Software Engineer Agent] Agent name 'Software Engineer Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Azure Logic Apps Expert Mode] Agent name 'Azure Logic Apps Expert Mode' does not match filename 'azure-logic-apps-expert.agent.md' (expected 'Azure Logic Apps Expert Mode.agent.md').�[0m
�[31m❌ [agent:Azure Logic Apps Expert Mode] Agent name 'Azure Logic Apps Expert Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Ultimate Transparent Thinking Beast Mode] Agent name 'Ultimate Transparent Thinking Beast Mode' does not match filename 'Ultimate-Transparent-Thinking-Beast-Mode.agent.md' (expected 'Ultimate Transparent Thinking Beast Mode.agent.md').�[0m
�[31m❌ [agent:Ultimate Transparent Thinking Beast Mode] Agent name 'Ultimate Transparent Thinking Beast Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:AEM Front-End Specialist] Agent name 'AEM Front-End Specialist' does not match filename 'aem-frontend-specialist.agent.md' (expected 'AEM Front-End Specialist.agent.md').�[0m
�[31m❌ [agent:AEM Front-End Specialist] Agent name 'AEM Front-End Specialist' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Arch Linux Expert] Agent name 'Arch Linux Expert' does not match filename 'arch-linux-expert.agent.md' (expected 'Arch Linux Expert.agent.md').�[0m
�[31m❌ [agent:Arch Linux Expert] Agent name 'Arch Linux Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Microsoft Learn Contributor] Agent name 'Microsoft Learn Contributor' does not match filename 'microsoft_learn_contributor.agent.md' (expected 'Microsoft Learn Contributor.agent.md').�[0m
�[31m❌ [agent:Microsoft Learn Contributor] Agent name 'Microsoft Learn Contributor' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:C++ Expert] Agent name 'C++ Expert' does not match filename 'expert-cpp-software-engineer.agent.md' (expected 'C++ Expert.agent.md').�[0m
�[31m❌ [agent:C++ Expert] Agent name 'C++ Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Kusto Assistant] Agent name 'Kusto Assistant' does not match filename 'kusto-assistant.agent.md' (expected 'Kusto Assistant.agent.md').�[0m
�[31m❌ [agent:Kusto Assistant] Agent name 'Kusto Assistant' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:.NET Upgrade] Agent name '.NET Upgrade' does not match filename 'dotnet-upgrade.agent.md' (expected '.NET Upgrade.agent.md').�[0m
�[31m❌ [agent:.NET Upgrade] Agent name '.NET Upgrade' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Declarative Agents Architect] Agent name 'Declarative Agents Architect' does not match filename 'declarative-agents-architect.agent.md' (expected 'Declarative Agents Architect.agent.md').�[0m
�[31m❌ [agent:Declarative Agents Architect] Agent name 'Declarative Agents Architect' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Declarative Agents Architect] Agent has no description — required.�[0m
�[31m❌ [agent:Repo Architect Agent] Agent name 'Repo Architect Agent' does not match filename 'repo-architect.agent.md' (expected 'Repo Architect Agent.agent.md').�[0m
�[31m❌ [agent:Repo Architect Agent] Agent name 'Repo Architect Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:SE: Security] Agent name 'SE: Security' does not match filename 'se-security-reviewer.agent.md' (expected 'SE: Security.agent.md').�[0m
�[31m❌ [agent:SE: Security] Agent name 'SE: Security' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Planning mode instructions] Agent name 'Planning mode instructions' does not match filename 'planner.agent.md' (expected 'Planning mode instructions.agent.md').�[0m
�[31m❌ [agent:Planning mode instructions] Agent name 'Planning mode instructions' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:DevTools Regression Investigator] Agent name 'DevTools Regression Investigator' does not match filename 'devtools-regression-investigator.agent.md' (expected 'DevTools Regression Investigator.agent.md').�[0m
�[31m❌ [agent:DevTools Regression Investigator] Agent name 'DevTools Regression Investigator' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Microsoft Study and Learn] Agent name 'Microsoft Study and Learn' does not match filename 'microsoft-study-mode.agent.md' (expected 'Microsoft Study and Learn.agent.md').�[0m
�[31m❌ [agent:Microsoft Study and Learn] Agent name 'Microsoft Study and Learn' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:SE: Responsible AI] Agent name 'SE: Responsible AI' does not match filename 'se-responsible-ai-code.agent.md' (expected 'SE: Responsible AI.agent.md').�[0m
�[31m❌ [agent:SE: Responsible AI] Agent name 'SE: Responsible AI' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Python Notebook Sample Builder] Agent name 'Python Notebook Sample Builder' does not match filename 'python-notebook-sample-builder.agent.md' (expected 'Python Notebook Sample Builder.agent.md').�[0m
�[31m❌ [agent:Python Notebook Sample Builder] Agent name 'Python Notebook Sample Builder' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Salesforce Visualforce Development] Agent name 'Salesforce Visualforce Development' does not match filename 'salesforce-visualforce.agent.md' (expected 'Salesforce Visualforce Development.agent.md').�[0m
�[31m❌ [agent:Salesforce Visualforce Development] Agent name 'Salesforce Visualforce Development' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Defender Scout KQL] Agent name 'Defender Scout KQL' does not match filename 'defender-scout-kql.agent.md' (expected 'Defender Scout KQL.agent.md').�[0m
�[31m❌ [agent:Defender Scout KQL] Agent name 'Defender Scout KQL' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Modernization Agent] Agent name 'Modernization Agent' does not match filename 'modernization.agent.md' (expected 'Modernization Agent.agent.md').�[0m
�[31m❌ [agent:Modernization Agent] Agent name 'Modernization Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Blueprint Mode] Agent name 'Blueprint Mode' does not match filename 'blueprint-mode.agent.md' (expected 'Blueprint Mode.agent.md').�[0m
�[31m❌ [agent:Blueprint Mode] Agent name 'Blueprint Mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:DevOps Expert] Agent name 'DevOps Expert' does not match filename 'devops-expert.agent.md' (expected 'DevOps Expert.agent.md').�[0m
�[31m❌ [agent:DevOps Expert] Agent name 'DevOps Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Doublecheck] Agent name 'Doublecheck' does not match filename 'doublecheck.agent.md' (expected 'Doublecheck.agent.md').�[0m
�[31m❌ [agent:Doublecheck] Agent name 'Doublecheck' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Neon Performance Analyzer] Agent name 'Neon Performance Analyzer' does not match filename 'neon-optimization-analyzer.agent.md' (expected 'Neon Performance Analyzer.agent.md').�[0m
�[31m❌ [agent:Neon Performance Analyzer] Agent name 'Neon Performance Analyzer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Expert .NET software engineer mode instructions] Agent name 'Expert .NET software engineer mode instructions' does not match filename 'expert-dotnet-software-engineer.agent.md' (expected 'Expert .NET software engineer mode instructions.agent.md').�[0m
�[31m❌ [agent:Expert .NET software engineer mode instructions] Agent name 'Expert .NET software engineer mode instructions' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:DiffblueCover] Agent name 'DiffblueCover' does not match filename 'diffblue-cover.agent.md' (expected 'DiffblueCover.agent.md').�[0m
�[31m❌ [agent:DiffblueCover] Agent name 'DiffblueCover' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:CAST Imaging Impact Analysis Agent] Agent name 'CAST Imaging Impact Analysis Agent' does not match filename 'cast-imaging-impact-analysis.agent.md' (expected 'CAST Imaging Impact Analysis Agent.agent.md').�[0m
�[31m❌ [agent:CAST Imaging Impact Analysis Agent] Agent name 'CAST Imaging Impact Analysis Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Delphi Expert] Agent name 'Delphi Expert' does not match filename 'delphi-expert.agent.md' (expected 'Delphi Expert.agent.md').�[0m
�[31m❌ [agent:Delphi Expert] Agent name 'Delphi Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Specification] Agent name 'Specification' does not match filename 'specification.agent.md' (expected 'Specification.agent.md').�[0m
�[31m❌ [agent:Specification] Agent name 'Specification' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:C# MCP Server Expert] Agent name 'C# MCP Server Expert' does not match filename 'csharp-mcp-expert.agent.md' (expected 'C# MCP Server Expert.agent.md').�[0m
�[31m❌ [agent:C# MCP Server Expert] Agent name 'C# MCP Server Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Plan Mode - Strategic Planning & Architecture] Agent name 'Plan Mode - Strategic Planning & Architecture' does not match filename 'plan.agent.md' (expected 'Plan Mode - Strategic Planning & Architecture.agent.md').�[0m
�[31m❌ [agent:Plan Mode - Strategic Planning & Architecture] Agent name 'Plan Mode - Strategic Planning & Architecture' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Clojure Interactive Programming] Agent name 'Clojure Interactive Programming' does not match filename 'clojure-interactive-programming.agent.md' (expected 'Clojure Interactive Programming.agent.md').�[0m
�[31m❌ [agent:Clojure Interactive Programming] Agent name 'Clojure Interactive Programming' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Azure AVM Terraform mode] Agent name 'Azure AVM Terraform mode' does not match filename 'azure-verified-modules-terraform.agent.md' (expected 'Azure AVM Terraform mode.agent.md').�[0m
�[31m❌ [agent:Azure AVM Terraform mode] Agent name 'Azure AVM Terraform mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Next.js Expert] Agent name 'Next.js Expert' does not match filename 'expert-nextjs-developer.agent.md' (expected 'Next.js Expert.agent.md').�[0m
�[31m❌ [agent:Next.js Expert] Agent name 'Next.js Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Atlassian Requirements to Jira] Agent name 'Atlassian Requirements to Jira' does not match filename 'atlassian-requirements-to-jira.agent.md' (expected 'Atlassian Requirements to Jira.agent.md').�[0m
�[31m❌ [agent:Atlassian Requirements to Jira] Agent name 'Atlassian Requirements to Jira' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:VS Code Insiders Accessibility Tracker] Agent name 'VS Code Insiders Accessibility Tracker' does not match filename 'insiders-a11y-tracker.agent.md' (expected 'VS Code Insiders Accessibility Tracker.agent.md').�[0m
�[31m❌ [agent:VS Code Insiders Accessibility Tracker] Agent name 'VS Code Insiders Accessibility Tracker' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:New Relic Incident Response Agent] Agent name 'New Relic Incident Response Agent' does not match filename 'new-relic-incident-response.agent.md' (expected 'New Relic Incident Response Agent.agent.md').�[0m
�[31m❌ [agent:New Relic Incident Response Agent] Agent name 'New Relic Incident Response Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:AVM Owner Triage] Agent name 'AVM Owner Triage' does not match filename 'azure-verified-modules-owner-triage.agent.md' (expected 'AVM Owner Triage.agent.md').�[0m
�[31m❌ [agent:AVM Owner Triage] Agent name 'AVM Owner Triage' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Azure Policy Analyzer] Agent name 'Azure Policy Analyzer' does not match filename 'azure-policy-analyzer.agent.md' (expected 'Azure Policy Analyzer.agent.md').�[0m
�[31m❌ [agent:Azure Policy Analyzer] Agent name 'Azure Policy Analyzer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Expert Nuxt Developer] Agent name 'Expert Nuxt Developer' does not match filename 'nuxt-expert.agent.md' (expected 'Expert Nuxt Developer.agent.md').�[0m
�[31m❌ [agent:Expert Nuxt Developer] Agent name 'Expert Nuxt Developer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Electron Code Review Mode Instructions] Agent name 'Electron Code Review Mode Instructions' does not match filename 'electron-angular-native.agent.md' (expected 'Electron Code Review Mode Instructions.agent.md').�[0m
�[31m❌ [agent:Electron Code Review Mode Instructions] Agent name 'Electron Code Review Mode Instructions' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:VSCode Tour Expert] Agent name 'VSCode Tour Expert' does not match filename 'code-tour.agent.md' (expected 'VSCode Tour Expert.agent.md').�[0m
�[31m❌ [agent:VSCode Tour Expert] Agent name 'VSCode Tour Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:ADR Generator] Agent name 'ADR Generator' does not match filename 'adr-generator.agent.md' (expected 'ADR Generator.agent.md').�[0m
�[31m❌ [agent:ADR Generator] Agent name 'ADR Generator' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Bicep Specialist] Agent name 'Bicep Specialist' does not match filename 'bicep-implement.agent.md' (expected 'Bicep Specialist.agent.md').�[0m
�[31m❌ [agent:Bicep Specialist] Agent name 'Bicep Specialist' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Agent Governance Reviewer] Agent name 'Agent Governance Reviewer' does not match filename 'agent-governance-reviewer.agent.md' (expected 'Agent Governance Reviewer.agent.md').�[0m
�[31m❌ [agent:Agent Governance Reviewer] Agent name 'Agent Governance Reviewer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Expert React Frontend Engineer] Agent name 'Expert React Frontend Engineer' does not match filename 'expert-react-frontend-engineer.agent.md' (expected 'Expert React Frontend Engineer.agent.md').�[0m
�[31m❌ [agent:Expert React Frontend Engineer] Agent name 'Expert React Frontend Engineer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:MAUI Expert] Agent name 'MAUI Expert' does not match filename 'dotnet-maui.agent.md' (expected 'MAUI Expert.agent.md').�[0m
�[31m❌ [agent:MAUI Expert] Agent name 'MAUI Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:SE: DevOps/CI] Agent name 'SE: DevOps/CI' does not match filename 'se-gitops-ci-specialist.agent.md' (expected 'SE: DevOps/CI.agent.md').�[0m
�[31m❌ [agent:SE: DevOps/CI] Agent name 'SE: DevOps/CI' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Amplitude Experiment Implementation] Agent name 'Amplitude Experiment Implementation' does not match filename 'amplitude-experiment-implementation.agent.md' (expected 'Amplitude Experiment Implementation.agent.md').�[0m
�[31m❌ [agent:Amplitude Experiment Implementation] Agent name 'Amplitude Experiment Implementation' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:MS-SQL Database Administrator] Agent name 'MS-SQL Database Administrator' does not match filename 'ms-sql-dba.agent.md' (expected 'MS-SQL Database Administrator.agent.md').�[0m
�[31m❌ [agent:MS-SQL Database Administrator] Agent name 'MS-SQL Database Administrator' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Salesforce UI Development (Aura & LWC)] Agent name 'Salesforce UI Development (Aura & LWC)' does not match filename 'salesforce-aura-lwc.agent.md' (expected 'Salesforce UI Development (Aura & LWC).agent.md').�[0m
�[31m❌ [agent:Salesforce UI Development (Aura & LWC)] Agent name 'Salesforce UI Development (Aura & LWC)' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:SE: UX Designer] Agent name 'SE: UX Designer' does not match filename 'se-ux-ui-designer.agent.md' (expected 'SE: UX Designer.agent.md').�[0m
�[31m❌ [agent:SE: UX Designer] Agent name 'SE: UX Designer' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Java MCP Expert] Agent name 'Java MCP Expert' does not match filename 'java-mcp-expert.agent.md' (expected 'Java MCP Expert.agent.md').�[0m
�[31m❌ [agent:Java MCP Expert] Agent name 'Java MCP Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Mentor mode] Agent name 'Mentor mode' does not match filename 'mentor.agent.md' (expected 'Mentor mode.agent.md').�[0m
�[31m❌ [agent:Mentor mode] Agent name 'Mentor mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Lingo.dev Localization (i18n) Agent] Agent name 'Lingo.dev Localization (i18n) Agent' does not match filename 'lingodotdev-i18n.agent.md' (expected 'Lingo.dev Localization (i18n) Agent.agent.md').�[0m
�[31m❌ [agent:Lingo.dev Localization (i18n) Agent] Agent name 'Lingo.dev Localization (i18n) Agent' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:octopus-release-notes-with-mcp] Agent name 'octopus-release-notes-with-mcp' does not match filename 'octopus-deploy-release-notes-mcp.agent.md' (expected 'octopus-release-notes-with-mcp.agent.md').�[0m
�[31m❌ [agent:Go MCP Server Development Expert] Agent name 'Go MCP Server Development Expert' does not match filename 'go-mcp-expert.agent.md' (expected 'Go MCP Server Development Expert.agent.md').�[0m
�[31m❌ [agent:Go MCP Server Development Expert] Agent name 'Go MCP Server Development Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Kotlin MCP Server Development Expert] Agent name 'Kotlin MCP Server Development Expert' does not match filename 'kotlin-mcp-expert.agent.md' (expected 'Kotlin MCP Server Development Expert.agent.md').�[0m
�[31m❌ [agent:Kotlin MCP Server Development Expert] Agent name 'Kotlin MCP Server Development Expert' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Azure Terraform IaC Implementation Specialist] Agent name 'Azure Terraform IaC Implementation Specialist' does not match filename 'terraform-azure-implement.agent.md' (expected 'Azure Terraform IaC Implementation Specialist.agent.md').�[0m
�[31m❌ [agent:Azure Terraform IaC Implementation Specialist] Agent name 'Azure Terraform IaC Implementation Specialist' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Salesforce Flow Development] Agent name 'Salesforce Flow Development' does not match filename 'salesforce-flow.agent.md' (expected 'Salesforce Flow Development.agent.md').�[0m
�[31m❌ [agent:Salesforce Flow Development] Agent name 'Salesforce Flow Development' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Demonstrate Understanding mode instructions] Agent name 'Demonstrate Understanding mode instructions' does not match filename 'demonstrate-understanding.agent.md' (expected 'Demonstrate Understanding mode instructions.agent.md').�[0m
�[31m❌ [agent:Demonstrate Understanding mode instructions] Agent name 'Demonstrate Understanding mode instructions' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
�[31m❌ [agent:Technical spike research mode] Agent name 'Technical spike research mode' does not match filename 'research-technical-spike.agent.md' (expected 'Technical spike research mode.agent.md').�[0m
�[31m❌ [agent:Technical spike research mode] Agent name 'Technical spike research mode' contains invalid characters — must be lowercase alphanumeric and hyphens only.�[0m
Validated 217 agent(s)
�[31mAgent spec conformance failures — fix the errors above.�[0m

[chrystaboannamariestephanie-lab]

Skills (part 1)

Found 359 skill(s)
[salesforce-flow-design] 📊 salesforce-flow-design: 1,491 BPE tokens [chars/4: 1,740] (detailed ✓), 15 sections, 5 code blocks
[salesforce-flow-design]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[javax-to-jakarta-migration] 📊 javax-to-jakarta-migration: 665 BPE tokens [chars/4: 626] (detailed ✓), 9 sections, 2 code blocks
[content-management-systems] 📊 content-management-systems: 1,040 BPE tokens [chars/4: 1,324] (detailed ✓), 13 sections, 0 code blocks
[content-management-systems]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-plan] 📊 breakdown-plan: 3,504 BPE tokens [chars/4: 3,763] (standard ~), 68 sections, 9 code blocks
[breakdown-plan]    ⚠  Skill is 3,504 BPE tokens (chars/4 estimate: 3,763) — approaching "comprehensive" range where gains diminish.
[security-review] 📊 security-review: 2,043 BPE tokens [chars/4: 2,259] (detailed ✓), 15 sections, 0 code blocks
[security-review]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[kotlin-springboot] 📊 kotlin-springboot: 956 BPE tokens [chars/4: 1,102] (detailed ✓), 10 sections, 1 code blocks
[kotlin-springboot]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[aws-resource-query] 📊 aws-resource-query: 5,900 BPE tokens [chars/4: 5,521] (comprehensive ✗), 154 sections, 23 code blocks
[aws-resource-query]    ⚠  Skill is 5,900 BPE tokens (chars/4 estimate: 5,521) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[impediment-prioritization] 📊 impediment-prioritization: 2,249 BPE tokens [chars/4: 2,256] (detailed ✓), 11 sections, 2 code blocks
[power-platform-architect] 📊 power-platform-architect: 3,104 BPE tokens [chars/4: 3,609] (standard ~), 12 sections, 1 code blocks
[power-platform-architect]    ⚠  Skill is 3,104 BPE tokens (chars/4 estimate: 3,609) — approaching "comprehensive" range where gains diminish.
[architecture-blueprint-generator] 📊 architecture-blueprint-generator: 2,519 BPE tokens [chars/4: 3,340] (standard ~), 18 sections, 0 code blocks
[architecture-blueprint-generator]    ⚠  Skill is 2,519 BPE tokens (chars/4 estimate: 3,340) — approaching "comprehensive" range where gains diminish.
[architecture-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[architecture-blueprint-generator]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[mcp-create-declarative-agent] 📊 mcp-create-declarative-agent: 1,978 BPE tokens [chars/4: 2,036] (detailed ✓), 30 sections, 12 code blocks
[diagnose] 📊 diagnose: 983 BPE tokens [chars/4: 1,005] (detailed ✓), 9 sections, 1 code blocks
[ssma-console] 📊 ssma-console: 1,749 BPE tokens [chars/4: 1,784] (detailed ✓), 10 sections, 5 code blocks
[playwright-generate-test] 📊 playwright-generate-test: 178 BPE tokens [chars/4: 220] (compact ✓), 2 sections, 0 code blocks
[playwright-generate-test]    ⚠  Skill is only 178 BPE tokens (chars/4 estimate: 220) — may be too sparse to provide actionable guidance.
[playwright-generate-test]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[playwright-generate-test]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[mvvm-toolkit] 📊 mvvm-toolkit: 2,553 BPE tokens [chars/4: 2,696] (standard ~), 14 sections, 9 code blocks
[mvvm-toolkit]    ⚠  Skill is 2,553 BPE tokens (chars/4 estimate: 2,696) — approaching "comprehensive" range where gains diminish.
[create-github-issues-feature-from-implementation-plan] 📊 create-github-issues-feature-from-implementation-plan: 191 BPE tokens [chars/4: 237] (compact ✓), 4 sections, 0 code blocks
[create-github-issues-feature-from-implementation-plan]    ⚠  Skill is only 191 BPE tokens (chars/4 estimate: 237) — may be too sparse to provide actionable guidance.
[create-github-issues-feature-from-implementation-plan]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[update-specification] 📊 update-specification: 1,175 BPE tokens [chars/4: 1,404] (detailed ✓), 20 sections, 2 code blocks
�[31m❌ [update-specification] File reference '/spec/' uses an absolute (repo-rooted) path — references must be relative to the skill directory.�[0m
[update-specification]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[qdrant-search-quality] 📊 qdrant-search-quality: 303 BPE tokens [chars/4: 336] (compact ✓), 3 sections, 0 code blocks
[qdrant-search-quality]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-search-quality]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[batch-files] 📊 batch-files: 4,639 BPE tokens [chars/4: 4,310] (standard ~), 47 sections, 22 code blocks
[batch-files]    ⚠  Skill is 4,639 BPE tokens (chars/4 estimate: 4,310) — approaching "comprehensive" range where gains diminish.
[git-commit] 📊 git-commit: 747 BPE tokens [chars/4: 800] (detailed ✓), 22 sections, 5 code blocks
[git-commit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-tldr-page] 📊 create-tldr-page: 1,546 BPE tokens [chars/4: 1,583] (detailed ✓), 19 sections, 8 code blocks
[x-twitter-scraper] 📊 x-twitter-scraper: 836 BPE tokens [chars/4: 995] (detailed ✓), 8 sections, 0 code blocks
[x-twitter-scraper]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[web-design-reviewer] 📊 web-design-reviewer: 2,454 BPE tokens [chars/4: 2,610] (detailed ✓), 50 sections, 7 code blocks
[dotnet-timezone] 📊 dotnet-timezone: 840 BPE tokens [chars/4: 976] (detailed ✓), 8 sections, 2 code blocks
[gtm-operating-cadence] 📊 gtm-operating-cadence: 3,798 BPE tokens [chars/4: 4,003] (standard ~), 16 sections, 4 code blocks
[gtm-operating-cadence]    ⚠  Skill is 3,798 BPE tokens (chars/4 estimate: 4,003) — approaching "comprehensive" range where gains diminish.
[lsp-setup] 📊 lsp-setup: 961 BPE tokens [chars/4: 996] (detailed ✓), 6 sections, 1 code blocks
[acreadiness-assess] 📊 acreadiness-assess: 808 BPE tokens [chars/4: 839] (detailed ✓), 3 sections, 1 code blocks
[ai-prompt-engineering-safety-review] 📊 ai-prompt-engineering-safety-review: 2,185 BPE tokens [chars/4: 2,540] (detailed ✓), 19 sections, 0 code blocks
[ai-prompt-engineering-safety-review]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[pr-screenshots] 📊 pr-screenshots: 1,120 BPE tokens [chars/4: 1,220] (detailed ✓), 13 sections, 5 code blocks
[breakdown-epic-pm] 📊 breakdown-epic-pm: 509 BPE tokens [chars/4: 575] (detailed ✓), 13 sections, 0 code blocks
[breakdown-epic-pm]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-epic-pm]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[freecad-scripts] 📊 freecad-scripts: 5,659 BPE tokens [chars/4: 5,330] (comprehensive ✗), 92 sections, 19 code blocks
[freecad-scripts]    ⚠  Skill is 5,659 BPE tokens (chars/4 estimate: 5,330) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[create-specification] 📊 create-specification: 1,164 BPE tokens [chars/4: 1,380] (detailed ✓), 20 sections, 2 code blocks
�[31m❌ [create-specification] File reference '/spec/' uses an absolute (repo-rooted) path — references must be relative to the skill directory.�[0m
[create-specification]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[postgresql-code-review] 📊 postgresql-code-review: 1,646 BPE tokens [chars/4: 1,847] (detailed ✓), 21 sections, 8 code blocks
[mini-context-graph] 📊 mini-context-graph: 1,896 BPE tokens [chars/4: 2,001] (detailed ✓), 25 sections, 2 code blocks
[flowstudio-power-automate-monitoring] 📊 flowstudio-power-automate-monitoring: 3,476 BPE tokens [chars/4: 3,282] (standard ~), 25 sections, 12 code blocks
[flowstudio-power-automate-monitoring]    ⚠  Skill is 3,476 BPE tokens (chars/4 estimate: 3,282) — approaching "comprehensive" range where gains diminish.
[ef-core] 📊 ef-core: 492 BPE tokens [chars/4: 670] (detailed ✓), 9 sections, 0 code blocks
[ef-core]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[ef-core]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[postgresql-optimization] 📊 postgresql-optimization: 2,651 BPE tokens [chars/4: 2,834] (standard ~), 36 sections, 20 code blocks
[postgresql-optimization]    ⚠  Skill is 2,651 BPE tokens (chars/4 estimate: 2,834) — approaching "comprehensive" range where gains diminish.
[postgresql-optimization]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[microsoft-docs] 📊 microsoft-docs: 1,362 BPE tokens [chars/4: 1,418] (detailed ✓), 14 sections, 2 code blocks
[qdrant-monitoring] 📊 qdrant-monitoring: 241 BPE tokens [chars/4: 276] (compact ✓), 3 sections, 0 code blocks
[qdrant-monitoring]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-monitoring]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[mkdocs-translations] 📊 mkdocs-translations: 946 BPE tokens [chars/4: 1,073] (detailed ✓), 10 sections, 0 code blocks
[mkdocs-translations]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[mkdocs-translations]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[ai-ready] 📊 ai-ready: 349 BPE tokens [chars/4: 364] (compact ✓), 2 sections, 2 code blocks
[datanalysis-credit-risk] 📊 datanalysis-credit-risk: 1,365 BPE tokens [chars/4: 1,546] (detailed ✓), 16 sections, 1 code blocks
[github-actions-efficiency] 📊 github-actions-efficiency: 995 BPE tokens [chars/4: 1,137] (detailed ✓), 10 sections, 1 code blocks
[arize-dataset] 📊 arize-dataset: 3,861 BPE tokens [chars/4: 3,854] (standard ~), 51 sections, 16 code blocks
[arize-dataset]    ⚠  Skill is 3,861 BPE tokens (chars/4 estimate: 3,854) — approaching "comprehensive" range where gains diminish.
[ruby-mcp-server-generator] 📊 ruby-mcp-server-generator: 3,459 BPE tokens [chars/4: 3,631] (standard ~), 37 sections, 24 code blocks
[ruby-mcp-server-generator]    ⚠  Skill is 3,459 BPE tokens (chars/4 estimate: 3,631) — approaching "comprehensive" range where gains diminish.
[gdpr-compliant] 📊 gdpr-compliant: 2,725 BPE tokens [chars/4: 2,968] (standard ~), 23 sections, 0 code blocks
[gdpr-compliant]    ⚠  Skill is 2,725 BPE tokens (chars/4 estimate: 2,968) — approaching "comprehensive" range where gains diminish.
[gdpr-compliant]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[gdpr-compliant]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[drawio] 📊 drawio: 920 BPE tokens [chars/4: 805] (detailed ✓), 13 sections, 3 code blocks
[dataverse-python-quickstart] 📊 dataverse-python-quickstart: 133 BPE tokens [chars/4: 163] (compact ✓), 0 sections, 0 code blocks
[dataverse-python-quickstart]    ⚠  Skill is only 133 BPE tokens (chars/4 estimate: 163) — may be too sparse to provide actionable guidance.
[dataverse-python-quickstart]    ⚠  No section headers — agents navigate structured documents better.
[dataverse-python-quickstart]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dataverse-python-quickstart]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[generate-image] 📊 generate-image: 1,048 BPE tokens [chars/4: 958] (detailed ✓), 6 sections, 2 code blocks
[gtm-technical-product-pricing] 📊 gtm-technical-product-pricing: 2,991 BPE tokens [chars/4: 3,219] (standard ~), 13 sections, 4 code blocks
[gtm-technical-product-pricing]    ⚠  Skill is 2,991 BPE tokens (chars/4 estimate: 3,219) — approaching "comprehensive" range where gains diminish.
[unit-test-vue-pinia] 📊 unit-test-vue-pinia: 1,588 BPE tokens [chars/4: 1,777] (detailed ✓), 17 sections, 8 code blocks
[entra-agent-user] 📊 entra-agent-user: 2,238 BPE tokens [chars/4: 2,308] (detailed ✓), 25 sections, 12 code blocks
[entra-agent-user]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[microsoft-code-reference] 📊 microsoft-code-reference: 966 BPE tokens [chars/4: 1,047] (detailed ✓), 13 sections, 3 code blocks
[cli-mastery] 📊 cli-mastery: 535 BPE tokens [chars/4: 517] (detailed ✓), 3 sections, 1 code blocks
[cli-mastery]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-async] 📊 csharp-async: 379 BPE tokens [chars/4: 466] (compact ✓), 7 sections, 0 code blocks
[csharp-async]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-async]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[fluentui-blazor] 📊 fluentui-blazor: 1,762 BPE tokens [chars/4: 1,872] (detailed ✓), 13 sections, 13 code blocks
[mvvm-toolkit-messenger] 📊 mvvm-toolkit-messenger: 1,946 BPE tokens [chars/4: 2,214] (detailed ✓), 17 sections, 14 code blocks
[structured-autonomy-plan] 📊 structured-autonomy-plan: 677 BPE tokens [chars/4: 759] (detailed ✓), 9 sections, 1 code blocks
[mvvm-toolkit-di] 📊 mvvm-toolkit-di: 1,998 BPE tokens [chars/4: 2,339] (detailed ✓), 13 sections, 10 code blocks
[ui-screenshots] 📊 ui-screenshots: 1,810 BPE tokens [chars/4: 1,867] (detailed ✓), 16 sections, 8 code blocks
[doublecheck] 📊 doublecheck: 3,254 BPE tokens [chars/4: 3,973] (standard ~), 26 sections, 3 code blocks
[doublecheck]    ⚠  Skill is 3,254 BPE tokens (chars/4 estimate: 3,973) — approaching "comprehensive" range where gains diminish.
[create-github-issue-feature-from-specification] 📊 create-github-issue-feature-from-specification: 173 BPE tokens [chars/4: 228] (compact ✓), 4 sections, 0 code blocks
[create-github-issue-feature-from-specification]    ⚠  Skill is only 173 BPE tokens (chars/4 estimate: 228) — may be too sparse to provide actionable guidance.
[create-github-issue-feature-from-specification]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[appinsights-instrumentation] 📊 appinsights-instrumentation: 547 BPE tokens [chars/4: 616] (detailed ✓), 9 sections, 0 code blocks
[appinsights-instrumentation]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[appinsights-instrumentation]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[react19-source-patterns] 📊 react19-source-patterns: 462 BPE tokens [chars/4: 489] (detailed ✓), 4 sections, 1 code blocks
[react19-source-patterns]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-ai-provider-integration] 📊 arize-ai-provider-integration: 2,684 BPE tokens [chars/4: 2,601] (standard ~), 29 sections, 16 code blocks
[arize-ai-provider-integration]    ⚠  Skill is 2,684 BPE tokens (chars/4 estimate: 2,601) — approaching "comprehensive" range where gains diminish.
[arize-ai-provider-integration]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[power-bi-model-design-review] 📊 power-bi-model-design-review: 2,126 BPE tokens [chars/4: 2,782] (detailed ✓), 28 sections, 17 code blocks
[arize-trace] 📊 arize-trace: 5,896 BPE tokens [chars/4: 5,853] (comprehensive ✗), 43 sections, 10 code blocks
[arize-trace]    ⚠  Skill is 5,896 BPE tokens (chars/4 estimate: 5,853) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[az-cost-optimize] 📊 az-cost-optimize: 2,956 BPE tokens [chars/4: 3,218] (standard ~), 12 sections, 7 code blocks
[az-cost-optimize]    ⚠  Skill is 2,956 BPE tokens (chars/4 estimate: 3,218) — approaching "comprehensive" range where gains diminish.
[geofeed-tuner] 📊 geofeed-tuner: 11,662 BPE tokens [chars/4: 12,215] (comprehensive ✗), 35 sections, 15 code blocks
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference 'assets/example/01-user-input-rfc8805-feed.csv' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/comments.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/mcp-server-payload.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/mcp-server-payload.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [geofeed-tuner] File reference './run/data/report-data.json' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[geofeed-tuner]    ⚠  Skill is 11,662 BPE tokens (chars/4 estimate: 12,215) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[agent-owasp-compliance] 📊 agent-owasp-compliance: 2,754 BPE tokens [chars/4: 2,970] (standard ~), 22 sections, 7 code blocks
[agent-owasp-compliance]    ⚠  Skill is 2,754 BPE tokens (chars/4 estimate: 2,970) — approaching "comprehensive" range where gains diminish.
[qdrant-model-migration] 📊 qdrant-model-migration: 1,157 BPE tokens [chars/4: 1,379] (detailed ✓), 7 sections, 0 code blocks
[qdrant-model-migration]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-model-migration]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[threat-model-analyst] 📊 threat-model-analyst: 1,266 BPE tokens [chars/4: 1,463] (detailed ✓), 7 sections, 0 code blocks
�[31m❌ [threat-model-analyst] File reference './references/skeletons/' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[threat-model-analyst]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[threat-model-analyst]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[draw-io-diagram-generator] 📊 draw-io-diagram-generator: 5,377 BPE tokens [chars/4: 4,884] (comprehensive ✗), 33 sections, 12 code blocks
[draw-io-diagram-generator]    ⚠  Skill is 5,377 BPE tokens (chars/4 estimate: 4,884) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[typespec-create-agent] 📊 typespec-create-agent: 672 BPE tokens [chars/4: 737] (detailed ✓), 5 sections, 1 code blocks
[csharp-mstest] 📊 csharp-mstest: 3,249 BPE tokens [chars/4: 3,458] (standard ~), 31 sections, 22 code blocks
[csharp-mstest]    ⚠  Skill is 3,249 BPE tokens (chars/4 estimate: 3,458) — approaching "comprehensive" range where gains diminish.
[declarative-agents] 📊 declarative-agents: 925 BPE tokens [chars/4: 1,178] (detailed ✓), 10 sections, 2 code blocks
[md-to-docx] 📊 md-to-docx: 676 BPE tokens [chars/4: 688] (detailed ✓), 9 sections, 3 code blocks
[md-to-docx]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[vardoger-analyze] 📊 vardoger-analyze: 1,315 BPE tokens [chars/4: 1,408] (detailed ✓), 14 sections, 6 code blocks
[webapp-testing] 📊 webapp-testing: 802 BPE tokens [chars/4: 954] (detailed ✓), 19 sections, 7 code blocks
[dotnet-upgrade] 📊 dotnet-upgrade: 1,354 BPE tokens [chars/4: 1,768] (detailed ✓), 1 sections, 0 code blocks
[dotnet-upgrade]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-upgrade]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[containerize-aspnetcore] 📊 containerize-aspnetcore: 3,726 BPE tokens [chars/4: 3,988] (standard ~), 100 sections, 6 code blocks
[containerize-aspnetcore]    ⚠  Skill is 3,726 BPE tokens (chars/4 estimate: 3,988) — approaching "comprehensive" range where gains diminish.
[phoenix-tracing] 📊 phoenix-tracing: 1,488 BPE tokens [chars/4: 1,690] (detailed ✓), 17 sections, 1 code blocks
[mcp-cli] 📊 mcp-cli: 626 BPE tokens [chars/4: 633] (detailed ✓), 16 sections, 1 code blocks
[excalidraw-diagram-generator] 📊 excalidraw-diagram-generator: 5,862 BPE tokens [chars/4: 5,926] (comprehensive ✗), 43 sections, 22 code blocks
[excalidraw-diagram-generator]    ⚠  Skill is 5,862 BPE tokens (chars/4 estimate: 5,926) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[issue-fields-migration] 📊 issue-fields-migration: 6,086 BPE tokens [chars/4: 6,052] (comprehensive ✗), 35 sections, 21 code blocks
[issue-fields-migration]    ⚠  Skill is 6,086 BPE tokens (chars/4 estimate: 6,052) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[github-release] 📊 github-release: 3,638 BPE tokens [chars/4: 3,576] (standard ~), 43 sections, 19 code blocks
[github-release]    ⚠  Skill is 3,638 BPE tokens (chars/4 estimate: 3,576) — approaching "comprehensive" range where gains diminish.
[generate-custom-instructions-from-codebase] 📊 generate-custom-instructions-from-codebase: 1,801 BPE tokens [chars/4: 2,166] (detailed ✓), 38 sections, 2 code blocks
[quasi-coder] 📊 quasi-coder: 3,116 BPE tokens [chars/4: 3,907] (standard ~), 37 sections, 11 code blocks
[quasi-coder]    ⚠  Skill is 3,116 BPE tokens (chars/4 estimate: 3,907) — approaching "comprehensive" range where gains diminish.
[arduino-azure-iot-edge-integration] 📊 arduino-azure-iot-edge-integration: 929 BPE tokens [chars/4: 1,171] (detailed ✓), 18 sections, 0 code blocks
[arduino-azure-iot-edge-integration]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[suggest-awesome-github-copilot-instructions] 📊 suggest-awesome-github-copilot-instructions: 1,499 BPE tokens [chars/4: 1,904] (detailed ✓), 11 sections, 1 code blocks
[java-junit] 📊 java-junit: 695 BPE tokens [chars/4: 746] (detailed ✓), 8 sections, 0 code blocks
[java-junit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-junit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[qdrant-performance-optimization] 📊 qdrant-performance-optimization: 366 BPE tokens [chars/4: 461] (compact ✓), 4 sections, 0 code blocks
[qdrant-performance-optimization]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-performance-optimization]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[salesforce-component-standards] 📊 salesforce-component-standards: 2,300 BPE tokens [chars/4: 2,448] (detailed ✓), 20 sections, 4 code blocks
[salesforce-component-standards]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[prompt-optimizer] 📊 prompt-optimizer: 4,380 BPE tokens [chars/4: 4,945] (standard ~), 29 sections, 14 code blocks
[prompt-optimizer]    ⚠  Skill is 4,380 BPE tokens (chars/4 estimate: 4,945) — approaching "comprehensive" range where gains diminish.
[react18-dep-compatibility] 📊 react18-dep-compatibility: 1,388 BPE tokens [chars/4: 1,124] (detailed ✓), 10 sections, 1 code blocks
[react18-dep-compatibility]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[sql-server-table-reconciliation] 📊 sql-server-table-reconciliation: 1,404 BPE tokens [chars/4: 1,449] (detailed ✓), 12 sections, 6 code blocks
[react18-string-refs] 📊 react18-string-refs: 549 BPE tokens [chars/4: 527] (detailed ✓), 6 sections, 1 code blocks
[context-map] 📊 context-map: 249 BPE tokens [chars/4: 287] (compact ✓), 10 sections, 1 code blocks
[mcp-copilot-studio-server-generator] 📊 mcp-copilot-studio-server-generator: 942 BPE tokens [chars/4: 1,063] (detailed ✓), 6 sections, 2 code blocks
[secret-scanning] 📊 secret-scanning: 2,073 BPE tokens [chars/4: 2,387] (detailed ✓), 30 sections, 4 code blocks
[creating-oracle-to-postgres-migration-integration-tests] 📊 creating-oracle-to-postgres-migration-integration-tests: 605 BPE tokens [chars/4: 760] (detailed ✓), 4 sections, 1 code blocks
[creating-oracle-to-postgres-migration-integration-tests]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[roundup] 📊 roundup: 2,219 BPE tokens [chars/4: 2,591] (detailed ✓), 28 sections, 0 code blocks
[roundup]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[roundup]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[remember] 📊 remember: 1,381 BPE tokens [chars/4: 1,632] (detailed ✓), 13 sections, 1 code blocks
[breakdown-feature-implementation] 📊 breakdown-feature-implementation: 966 BPE tokens [chars/4: 1,189] (detailed ✓), 9 sections, 2 code blocks
[breakdown-feature-implementation]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[editorconfig] 📊 editorconfig: 877 BPE tokens [chars/4: 1,040] (detailed ✓), 8 sections, 1 code blocks
[java-springboot] 📊 java-springboot: 855 BPE tokens [chars/4: 1,034] (detailed ✓), 10 sections, 0 code blocks
[java-springboot]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-springboot]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[remember-interactive-programming] 📊 remember-interactive-programming: 175 BPE tokens [chars/4: 221] (compact ✓), 0 sections, 0 code blocks
[remember-interactive-programming]    ⚠  Skill is only 175 BPE tokens (chars/4 estimate: 221) — may be too sparse to provide actionable guidance.
[remember-interactive-programming]    ⚠  No section headers — agents navigate structured documents better.
[remember-interactive-programming]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[remember-interactive-programming]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[commit-message-storyteller] 📊 commit-message-storyteller: 1,178 BPE tokens [chars/4: 1,289] (detailed ✓), 14 sections, 3 code blocks
[powerbi-modeling] 📊 powerbi-modeling: 1,264 BPE tokens [chars/4: 1,495] (detailed ✓), 16 sections, 4 code blocks
[dataverse-python-production-code] 📊 dataverse-python-production-code: 813 BPE tokens [chars/4: 913] (detailed ✓), 9 sections, 3 code blocks
[create-github-action-workflow-specification] 📊 create-github-action-workflow-specification: 1,790 BPE tokens [chars/4: 1,915] (detailed ✓), 47 sections, 6 code blocks
[fabric-lakehouse] 📊 fabric-lakehouse: 1,243 BPE tokens [chars/4: 1,525] (detailed ✓), 21 sections, 0 code blocks
[fabric-lakehouse]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[fabric-lakehouse]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-llms] 📊 create-llms: 1,487 BPE tokens [chars/4: 1,824] (detailed ✓), 33 sections, 1 code blocks
[qdrant-clients-sdk] 📊 qdrant-clients-sdk: 771 BPE tokens [chars/4: 749] (detailed ✓), 4 sections, 2 code blocks
[qdrant-clients-sdk]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[azure-smart-city-iot-solution-builder] 📊 azure-smart-city-iot-solution-builder: 1,118 BPE tokens [chars/4: 1,336] (detailed ✓), 16 sections, 0 code blocks
[azure-smart-city-iot-solution-builder]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[containerize-aspnet-framework] 📊 containerize-aspnet-framework: 4,885 BPE tokens [chars/4: 5,202] (standard ~), 108 sections, 5 code blocks
[containerize-aspnet-framework]    ⚠  Skill is 4,885 BPE tokens (chars/4 estimate: 5,202) — approaching "comprehensive" range where gains diminish.
[transloadit-media-processing] 📊 transloadit-media-processing: 1,366 BPE tokens [chars/4: 1,281] (detailed ✓), 14 sections, 8 code blocks
[transloadit-media-processing]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-experiment] 📊 arize-experiment: 4,616 BPE tokens [chars/4: 4,646] (standard ~), 34 sections, 20 code blocks
[arize-experiment]    ⚠  Skill is 4,616 BPE tokens (chars/4 estimate: 4,646) — approaching "comprehensive" range where gains diminish.
[game-engine] 📊 game-engine: 1,433 BPE tokens [chars/4: 1,581] (detailed ✓), 16 sections, 0 code blocks
[game-engine]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[screen-recording] 📊 screen-recording: 1,999 BPE tokens [chars/4: 2,003] (detailed ✓), 22 sections, 9 code blocks
[namecheap] 📊 namecheap: 1,714 BPE tokens [chars/4: 1,726] (detailed ✓), 26 sections, 4 code blocks
[efcore-d2-db-diagram] 📊 efcore-d2-db-diagram: 2,145 BPE tokens [chars/4: 2,287] (detailed ✓), 20 sections, 4 code blocks
[from-the-other-side-quinn] 📊 from-the-other-side-quinn: 559 BPE tokens [chars/4: 695] (detailed ✓), 12 sections, 0 code blocks
[from-the-other-side-quinn]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[arize-prompt-optimization] 📊 arize-prompt-optimization: 4,489 BPE tokens [chars/4: 4,799] (standard ~), 58 sections, 19 code blocks
[arize-prompt-optimization]    ⚠  Skill is 4,489 BPE tokens (chars/4 estimate: 4,799) — approaching "comprehensive" range where gains diminish.
[create-technical-spike] 📊 create-technical-spike: 1,358 BPE tokens [chars/4: 1,643] (detailed ✓), 33 sections, 1 code blocks
[acreadiness-policy] 📊 acreadiness-policy: 1,005 BPE tokens [chars/4: 940] (detailed ✓), 11 sections, 4 code blocks
[roundup-setup] 📊 roundup-setup: 3,202 BPE tokens [chars/4: 3,669] (standard ~), 18 sections, 1 code blocks
[roundup-setup]    ⚠  Skill is 3,202 BPE tokens (chars/4 estimate: 3,669) — approaching "comprehensive" range where gains diminish.
[review-and-refactor] 📊 review-and-refactor: 152 BPE tokens [chars/4: 193] (compact ✓), 2 sections, 0 code blocks
[review-and-refactor]    ⚠  Skill is only 152 BPE tokens (chars/4 estimate: 193) — may be too sparse to provide actionable guidance.
[review-and-refactor]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[chrome-devtools] 📊 chrome-devtools: 923 BPE tokens [chars/4: 1,037] (detailed ✓), 13 sections, 3 code blocks
[agent-supply-chain] 📊 agent-supply-chain: 2,515 BPE tokens [chars/4: 2,677] (standard ~), 13 sections, 8 code blocks
[agent-supply-chain]    ⚠  Skill is 2,515 BPE tokens (chars/4 estimate: 2,677) — approaching "comprehensive" range where gains diminish.
[agent-supply-chain]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[nuget-manager] 📊 nuget-manager: 812 BPE tokens [chars/4: 855] (detailed ✓), 11 sections, 0 code blocks
[nuget-manager]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-design-pattern-review] 📊 dotnet-design-pattern-review: 599 BPE tokens [chars/4: 821] (detailed ✓), 4 sections, 0 code blocks
[dotnet-design-pattern-review]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[dotnet-design-pattern-review]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[react19-test-patterns] 📊 react19-test-patterns: 815 BPE tokens [chars/4: 790] (detailed ✓), 7 sections, 5 code blocks
[power-platform-mcp-connector-suite] 📊 power-platform-mcp-connector-suite: 1,348 BPE tokens [chars/4: 1,590] (detailed ✓), 19 sections, 1 code blocks
[power-platform-mcp-connector-suite]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-link] 📊 arize-link: 1,239 BPE tokens [chars/4: 1,121] (detailed ✓), 9 sections, 6 code blocks
[vscode-ext-commands] 📊 vscode-ext-commands: 323 BPE tokens [chars/4: 387] (compact ✓), 3 sections, 0 code blocks
[vscode-ext-commands]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[vscode-ext-commands]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[creating-oracle-to-postgres-migration-bug-report] 📊 creating-oracle-to-postgres-migration-bug-report: 473 BPE tokens [chars/4: 567] (detailed ✓), 6 sections, 0 code blocks
[creating-oracle-to-postgres-migration-bug-report]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[creating-oracle-to-postgres-migration-bug-report]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[gen-specs-as-issues] 📊 gen-specs-as-issues: 1,163 BPE tokens [chars/4: 1,467] (detailed ✓), 17 sections, 0 code blocks
[gen-specs-as-issues]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[azure-resource-visualizer] 📊 azure-resource-visualizer: 2,173 BPE tokens [chars/4: 2,428] (detailed ✓), 17 sections, 1 code blocks
[onboard-context-matic] 📊 onboard-context-matic: 3,136 BPE tokens [chars/4: 3,361] (standard ~), 13 sections, 12 code blocks
[onboard-context-matic]    ⚠  Skill is 3,136 BPE tokens (chars/4 estimate: 3,361) — approaching "comprehensive" range where gains diminish.
[github-copilot-starter] 📊 github-copilot-starter: 3,527 BPE tokens [chars/4: 3,860] (standard ~), 26 sections, 13 code blocks
[github-copilot-starter]    ⚠  Skill is 3,527 BPE tokens (chars/4 estimate: 3,860) — approaching "comprehensive" range where gains diminish.
[aws-well-architected-review] 📊 aws-well-architected-review: 1,860 BPE tokens [chars/4: 1,890] (detailed ✓), 24 sections, 4 code blocks
[quality-playbook] 📊 quality-playbook: 66,332 BPE tokens [chars/4: 73,092] (comprehensive ✗), 128 sections, 44 code blocks
[quality-playbook]    ⚠  Skill is 66,332 BPE tokens (chars/4 estimate: 73,092) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[gtm-enterprise-account-planning] 📊 gtm-enterprise-account-planning: 3,625 BPE tokens [chars/4: 3,912] (standard ~), 16 sections, 3 code blocks
[gtm-enterprise-account-planning]    ⚠  Skill is 3,625 BPE tokens (chars/4 estimate: 3,912) — approaching "comprehensive" range where gains diminish.
[audit-integrity] 📊 audit-integrity: 705 BPE tokens [chars/4: 832] (detailed ✓), 6 sections, 0 code blocks
[audit-integrity]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[swift-mcp-server-generator] 📊 swift-mcp-server-generator: 3,781 BPE tokens [chars/4: 4,374] (standard ~), 30 sections, 18 code blocks
[swift-mcp-server-generator]    ⚠  Skill is 3,781 BPE tokens (chars/4 estimate: 4,374) — approaching "comprehensive" range where gains diminish.
[power-apps-code-app-scaffold] 📊 power-apps-code-app-scaffold: 1,424 BPE tokens [chars/4: 1,786] (detailed ✓), 18 sections, 2 code blocks
[multi-stage-dockerfile] 📊 multi-stage-dockerfile: 443 BPE tokens [chars/4: 577] (detailed ✓), 5 sections, 0 code blocks
[multi-stage-dockerfile]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[multi-stage-dockerfile]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[acreadiness-generate-instructions] 📊 acreadiness-generate-instructions: 2,129 BPE tokens [chars/4: 2,104] (detailed ✓), 9 sections, 2 code blocks
[sql-code-review] 📊 sql-code-review: 2,112 BPE tokens [chars/4: 2,220] (detailed ✓), 36 sections, 15 code blocks
[readme-blueprint-generator] 📊 readme-blueprint-generator: 563 BPE tokens [chars/4: 729] (detailed ✓), 12 sections, 0 code blocks
[readme-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[copilot-cli-quickstart] 📊 copilot-cli-quickstart: 7,782 BPE tokens [chars/4: 7,225] (comprehensive ✗), 40 sections, 28 code blocks
[copilot-cli-quickstart]    ⚠  Skill is 7,782 BPE tokens (chars/4 estimate: 7,225) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[openapi-to-application-code] 📊 openapi-to-application-code: 931 BPE tokens [chars/4: 1,144] (detailed ✓), 11 sections, 1 code blocks
[email-drafter] 📊 email-drafter: 1,013 BPE tokens [chars/4: 1,142] (detailed ✓), 10 sections, 0 code blocks
[email-drafter]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[react18-enzyme-to-rtl] 📊 react18-enzyme-to-rtl: 870 BPE tokens [chars/4: 917] (detailed ✓), 6 sections, 3 code blocks
[finalize-agent-prompt] 📊 finalize-agent-prompt: 185 BPE tokens [chars/4: 224] (compact ✓), 4 sections, 0 code blocks
[finalize-agent-prompt]    ⚠  Skill is only 185 BPE tokens (chars/4 estimate: 224) — may be too sparse to provide actionable guidance.
[finalize-agent-prompt]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[rust-mcp-server-generator] 📊 rust-mcp-server-generator: 3,088 BPE tokens [chars/4: 3,190] (standard ~), 31 sections, 24 code blocks
[rust-mcp-server-generator]    ⚠  Skill is 3,088 BPE tokens (chars/4 estimate: 3,190) — approaching "comprehensive" range where gains diminish.
[csharp-tunit] 📊 csharp-tunit: 1,164 BPE tokens [chars/4: 1,287] (detailed ✓), 10 sections, 0 code blocks
[csharp-tunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-tunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[memory-merger] 📊 memory-merger: 924 BPE tokens [chars/4: 972] (detailed ✓), 12 sections, 3 code blocks
[pinecone-rag] 📊 pinecone-rag: 2,373 BPE tokens [chars/4: 2,405] (detailed ✓), 16 sections, 9 code blocks
[pinecone-rag]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[gtm-0-to-1-launch] 📊 gtm-0-to-1-launch: 2,879 BPE tokens [chars/4: 3,186] (standard ~), 15 sections, 2 code blocks
[gtm-0-to-1-launch]    ⚠  Skill is 2,879 BPE tokens (chars/4 estimate: 3,186) — approaching "comprehensive" range where gains diminish.
[debian-linux-triage] 📊 debian-linux-triage: 223 BPE tokens [chars/4: 240] (compact ✓), 4 sections, 0 code blocks
[debian-linux-triage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[update-llms] 📊 update-llms: 1,701 BPE tokens [chars/4: 2,098] (detailed ✓), 36 sections, 1 code blocks
[react-container-presentation-component] 📊 react-container-presentation-component: 878 BPE tokens [chars/4: 1,034] (detailed ✓), 5 sections, 0 code blocks
[react-container-presentation-component]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[react18-legacy-context] 📊 react18-legacy-context: 561 BPE tokens [chars/4: 620] (detailed ✓), 8 sections, 2 code blocks
[brag-sheet] 📊 brag-sheet: 2,922 BPE tokens [chars/4: 2,959] (standard ~), 30 sections, 6 code blocks
[brag-sheet]    ⚠  Skill is 2,922 BPE tokens (chars/4 estimate: 2,959) — approaching "comprehensive" range where gains diminish.
[terraform-azurerm-set-diff-analyzer] 📊 terraform-azurerm-set-diff-analyzer: 489 BPE tokens [chars/4: 547] (detailed ✓), 9 sections, 1 code blocks
[terraform-azurerm-set-diff-analyzer]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-evaluator] 📊 arize-evaluator: 7,825 BPE tokens [chars/4: 8,053] (comprehensive ✗), 59 sections, 28 code blocks
[arize-evaluator]    ⚠  Skill is 7,825 BPE tokens (chars/4 estimate: 8,053) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[agent-governance] 📊 agent-governance: 4,203 BPE tokens [chars/4: 4,626] (standard ~), 33 sections, 14 code blocks
[agent-governance]    ⚠  Skill is 4,203 BPE tokens (chars/4 estimate: 4,626) — approaching "comprehensive" range where gains diminish.
[agent-governance]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-refactoring-remove-parameter] 📊 java-refactoring-remove-parameter: 611 BPE tokens [chars/4: 738] (detailed ✓), 8 sections, 5 code blocks
[java-refactoring-remove-parameter]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[flowstudio-power-automate-build] 📊 flowstudio-power-automate-build: 4,667 BPE tokens [chars/4: 4,925] (standard ~), 34 sections, 18 code blocks
[flowstudio-power-automate-build]    ⚠  Skill is 4,667 BPE tokens (chars/4 estimate: 4,925) — approaching "comprehensive" range where gains diminish.
[create-agentsmd] 📊 create-agentsmd: 1,651 BPE tokens [chars/4: 1,964] (detailed ✓), 36 sections, 2 code blocks
[premium-frontend-ui] 📊 premium-frontend-ui: 1,480 BPE tokens [chars/4: 1,797] (detailed ✓), 15 sections, 0 code blocks
[premium-frontend-ui]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[bigquery-pipeline-audit] 📊 bigquery-pipeline-audit: 1,224 BPE tokens [chars/4: 1,251] (detailed ✓), 8 sections, 0 code blocks
[bigquery-pipeline-audit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[conventional-branch] 📊 conventional-branch: 1,131 BPE tokens [chars/4: 1,063] (detailed ✓), 11 sections, 5 code blocks
[conventional-branch]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[csharp-nunit] 📊 csharp-nunit: 636 BPE tokens [chars/4: 711] (detailed ✓), 8 sections, 0 code blocks
[csharp-nunit]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-nunit]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[power-bi-performance-troubleshooting] 📊 power-bi-performance-troubleshooting: 2,078 BPE tokens [chars/4: 2,591] (detailed ✓), 31 sections, 19 code blocks
[gtm-ai-gtm] 📊 gtm-ai-gtm: 4,938 BPE tokens [chars/4: 5,300] (standard ~), 18 sections, 4 code blocks
[gtm-ai-gtm]    ⚠  Skill is 4,938 BPE tokens (chars/4 estimate: 5,300) — approaching "comprehensive" range where gains diminish.
[flowstudio-power-automate-debug] 📊 flowstudio-power-automate-debug: 4,677 BPE tokens [chars/4: 4,671] (standard ~), 68 sections, 16 code blocks
[flowstudio-power-automate-debug]    ⚠  Skill is 4,677 BPE tokens (chars/4 estimate: 4,671) — approaching "comprehensive" range where gains diminish.
[eyeball] 📊 eyeball: 1,486 BPE tokens [chars/4: 1,637] (detailed ✓), 13 sections, 11 code blocks
[typespec-create-api-plugin] 📊 typespec-create-api-plugin: 979 BPE tokens [chars/4: 1,013] (detailed ✓), 11 sections, 9 code blocks
[prd] 📊 prd: 993 BPE tokens [chars/4: 1,077] (detailed ✓), 25 sections, 1 code blocks
[prd]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[mcp-deploy-manage-agents] 📊 mcp-deploy-manage-agents: 2,036 BPE tokens [chars/4: 2,471] (detailed ✓), 49 sections, 2 code blocks
[acquire-codebase-knowledge] 📊 acquire-codebase-knowledge: 2,169 BPE tokens [chars/4: 2,270] (detailed ✓), 12 sections, 3 code blocks
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/STACK.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/STRUCTURE.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/ARCHITECTURE.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/CONVENTIONS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/INTEGRATIONS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/TESTING.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/CONCERNS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/STACK.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/STRUCTURE.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/ARCHITECTURE.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/CONVENTIONS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/INTEGRATIONS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/TESTING.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
�[31m❌ [acquire-codebase-knowledge] File reference 'assets/templates/CONCERNS.md' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[power-bi-report-design-consultation] 📊 power-bi-report-design-consultation: 2,357 BPE tokens [chars/4: 2,723] (detailed ✓), 22 sections, 13 code blocks
[react19-concurrent-patterns] 📊 react19-concurrent-patterns: 681 BPE tokens [chars/4: 722] (detailed ✓), 9 sections, 5 code blocks
[spring-boot-testing] 📊 spring-boot-testing: 1,508 BPE tokens [chars/4: 1,664] (detailed ✓), 19 sections, 4 code blocks
[rhino3d-scripts] 📊 rhino3d-scripts: 3,182 BPE tokens [chars/4: 2,981] (standard ~), 17 sections, 4 code blocks
[rhino3d-scripts]    ⚠  Skill is 3,182 BPE tokens (chars/4 estimate: 2,981) — approaching "comprehensive" range where gains diminish.
[aws-cost-optimize] 📊 aws-cost-optimize: 2,004 BPE tokens [chars/4: 2,047] (detailed ✓), 19 sections, 6 code blocks
[what-context-needed] 📊 what-context-needed: 209 BPE tokens [chars/4: 219] (compact ✓), 9 sections, 1 code blocks
[image-annotations] 📊 image-annotations: 6,966 BPE tokens [chars/4: 5,956] (comprehensive ✗), 29 sections, 8 code blocks
[image-annotations]    ⚠  Skill is 6,966 BPE tokens (chars/4 estimate: 5,956) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[oo-component-documentation] 📊 oo-component-documentation: 1,025 BPE tokens [chars/4: 1,346] (detailed ✓), 9 sections, 0 code blocks
[oo-component-documentation]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[write-coding-standards-from-file] 📊 write-coding-standards-from-file: 3,602 BPE tokens [chars/4: 3,845] (standard ~), 30 sections, 7 code blocks
[write-coding-standards-from-file]    ⚠  Skill is 3,602 BPE tokens (chars/4 estimate: 3,845) — approaching "comprehensive" range where gains diminish.
[write-coding-standards-from-file]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[github-actions-hardening] 📊 github-actions-hardening: 2,281 BPE tokens [chars/4: 2,449] (detailed ✓), 14 sections, 1 code blocks
[github-actions-hardening]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[pr-dashboard] 📊 pr-dashboard: 589 BPE tokens [chars/4: 524] (detailed ✓), 5 sections, 1 code blocks
[pr-dashboard]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[create-github-issues-for-unmet-specification-requirements] 📊 create-github-issues-for-unmet-specification-requirements: 233 BPE tokens [chars/4: 319] (compact ✓), 5 sections, 0 code blocks
[create-github-issues-for-unmet-specification-requirements]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[create-readme] 📊 create-readme: 306 BPE tokens [chars/4: 333] (compact ✓), 2 sections, 0 code blocks
[create-readme]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[update-implementation-plan] 📊 update-implementation-plan: 1,400 BPE tokens [chars/4: 1,595] (detailed ✓), 22 sections, 1 code blocks
[update-implementation-plan]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[copilot-usage-metrics] 📊 copilot-usage-metrics: 535 BPE tokens [chars/4: 609] (detailed ✓), 8 sections, 0 code blocks
[copilot-usage-metrics]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[arch-linux-triage] 📊 arch-linux-triage: 212 BPE tokens [chars/4: 232] (compact ✓), 4 sections, 0 code blocks
[arch-linux-triage]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[daily-prep] 📊 daily-prep: 2,157 BPE tokens [chars/4: 2,129] (detailed ✓), 16 sections, 0 code blocks
[daily-prep]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[from-the-other-side-vega] 📊 from-the-other-side-vega: 820 BPE tokens [chars/4: 894] (detailed ✓), 9 sections, 0 code blocks
[from-the-other-side-vega]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[from-the-other-side-vega]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[playwright-explore-website] 📊 playwright-explore-website: 140 BPE tokens [chars/4: 171] (compact ✓), 2 sections, 0 code blocks
[playwright-explore-website]    ⚠  Skill is only 140 BPE tokens (chars/4 estimate: 171) — may be too sparse to provide actionable guidance.
[playwright-explore-website]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[finnish-humanizer] 📊 finnish-humanizer: 2,637 BPE tokens [chars/4: 1,734] (standard ~), 11 sections, 0 code blocks
[finnish-humanizer]    ⚠  Skill is 2,637 BPE tokens (chars/4 estimate: 1,734) — approaching "comprehensive" range where gains diminish.
[finnish-humanizer]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[copilot-sdk] 📊 copilot-sdk: 5,749 BPE tokens [chars/4: 6,042] (comprehensive ✗), 63 sections, 41 code blocks
[copilot-sdk]    ⚠  Skill is 5,749 BPE tokens (chars/4 estimate: 6,042) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[exam-ready] 📊 exam-ready: 952 BPE tokens [chars/4: 983] (detailed ✓), 9 sections, 0 code blocks
[exam-ready]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-docs] 📊 csharp-docs: 908 BPE tokens [chars/4: 1,021] (detailed ✓), 6 sections, 0 code blocks
[csharp-docs]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[csharp-docs]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[copilot-instructions-blueprint-generator] 📊 copilot-instructions-blueprint-generator: 2,981 BPE tokens [chars/4: 3,696] (standard ~), 19 sections, 1 code blocks
[copilot-instructions-blueprint-generator]    ⚠  Skill is 2,981 BPE tokens (chars/4 estimate: 3,696) — approaching "comprehensive" range where gains diminish.
[project-workflow-analysis-blueprint-generator] 📊 project-workflow-analysis-blueprint-generator: 2,236 BPE tokens [chars/4: 2,719] (detailed ✓), 20 sections, 18 code blocks
[project-workflow-analysis-blueprint-generator]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[technology-stack-blueprint-generator] 📊 technology-stack-blueprint-generator: 1,957 BPE tokens [chars/4: 2,461] (detailed ✓), 22 sections, 0 code blocks
[technology-stack-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[technology-stack-blueprint-generator]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[salesforce-apex-quality] 📊 salesforce-apex-quality: 1,682 BPE tokens [chars/4: 1,820] (detailed ✓), 14 sections, 4 code blocks
[salesforce-apex-quality]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[react-audit-grep-patterns] 📊 react-audit-grep-patterns: 475 BPE tokens [chars/4: 461] (detailed ✓), 13 sections, 1 code blocks
[react-audit-grep-patterns]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[typespec-api-operations] 📊 typespec-api-operations: 2,327 BPE tokens [chars/4: 2,287] (detailed ✓), 35 sections, 16 code blocks
[typespec-api-operations]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[adobe-illustrator-scripting] 📊 adobe-illustrator-scripting: 8,799 BPE tokens [chars/4: 8,756] (comprehensive ✗), 78 sections, 39 code blocks
[adobe-illustrator-scripting]    ⚠  Skill is 8,799 BPE tokens (chars/4 estimate: 8,756) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[adobe-illustrator-scripting]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[add-educational-comments] 📊 add-educational-comments: 1,346 BPE tokens [chars/4: 1,556] (detailed ✓), 17 sections, 2 code blocks
[azure-pricing] 📊 azure-pricing: 2,315 BPE tokens [chars/4: 2,371] (detailed ✓), 23 sections, 4 code blocks
[microsoft-skill-creator] 📊 microsoft-skill-creator: 1,915 BPE tokens [chars/4: 2,100] (detailed ✓), 30 sections, 12 code blocks
�[31m❌ [microsoft-skill-creator] File reference 'sample_codes/getting-started/hello-kernel.cs' is 2 directories deep — maximum is 1 level from SKILL.md.�[0m
[create-spring-boot-kotlin-project] 📊 create-spring-boot-kotlin-project: 1,013 BPE tokens [chars/4: 1,045] (detailed ✓), 11 sections, 11 code blocks
[create-spring-boot-kotlin-project]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[php-mcp-server-generator] 📊 php-mcp-server-generator: 2,723 BPE tokens [chars/4: 2,697] (standard ~), 37 sections, 25 code blocks
[php-mcp-server-generator]    ⚠  Skill is 2,723 BPE tokens (chars/4 estimate: 2,697) — approaching "comprehensive" range where gains diminish.
[qdrant-scaling] 📊 qdrant-scaling: 399 BPE tokens [chars/4: 467] (compact ✓), 5 sections, 0 code blocks
[qdrant-scaling]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[qdrant-scaling]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[documentation-writer] 📊 documentation-writer: 554 BPE tokens [chars/4: 686] (detailed ✓), 5 sections, 0 code blocks
[documentation-writer]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[from-the-other-side-wiggins] 📊 from-the-other-side-wiggins: 776 BPE tokens [chars/4: 981] (detailed ✓), 16 sections, 0 code blocks
[from-the-other-side-wiggins]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-refactoring-extract-method] 📊 java-refactoring-extract-method: 786 BPE tokens [chars/4: 873] (detailed ✓), 8 sections, 5 code blocks
[java-refactoring-extract-method]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[automate-this] 📊 automate-this: 2,869 BPE tokens [chars/4: 3,107] (standard ~), 16 sections, 8 code blocks
[automate-this]    ⚠  Skill is 2,869 BPE tokens (chars/4 estimate: 3,107) — approaching "comprehensive" range where gains diminish.
[suggest-awesome-github-copilot-skills] 📊 suggest-awesome-github-copilot-skills: 1,725 BPE tokens [chars/4: 2,018] (detailed ✓), 11 sections, 1 code blocks
[azure-static-web-apps] 📊 azure-static-web-apps: 2,442 BPE tokens [chars/4: 2,373] (detailed ✓), 24 sections, 17 code blocks
[image-manipulation-image-magick] 📊 image-manipulation-image-magick: 1,829 BPE tokens [chars/4: 1,741] (detailed ✓), 39 sections, 18 code blocks
[msgraph-sdk] 📊 msgraph-sdk: 1,746 BPE tokens [chars/4: 2,054] (detailed ✓), 17 sections, 0 code blocks
[msgraph-sdk]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[tldr-prompt] 📊 tldr-prompt: 2,900 BPE tokens [chars/4: 3,066] (standard ~), 27 sections, 11 code blocks
[tldr-prompt]    ⚠  Skill is 2,900 BPE tokens (chars/4 estimate: 3,066) — approaching "comprehensive" range where gains diminish.
[kotlin-mcp-server-generator] 📊 kotlin-mcp-server-generator: 2,456 BPE tokens [chars/4: 2,672] (detailed ✓), 29 sections, 13 code blocks
[autoresearch] 📊 autoresearch: 2,568 BPE tokens [chars/4: 2,782] (standard ~), 20 sections, 3 code blocks
[autoresearch]    ⚠  Skill is 2,568 BPE tokens (chars/4 estimate: 2,782) — approaching "comprehensive" range where gains diminish.
[code-exemplars-blueprint-generator] 📊 code-exemplars-blueprint-generator: 1,343 BPE tokens [chars/4: 1,678] (detailed ✓), 10 sections, 0 code blocks
[code-exemplars-blueprint-generator]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[azure-devops-cli] 📊 azure-devops-cli: 906 BPE tokens [chars/4: 954] (detailed ✓), 11 sections, 3 code blocks
[azure-devops-cli]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[refactor-plan] 📊 refactor-plan: 520 BPE tokens [chars/4: 573] (detailed ✓), 14 sections, 1 code blocks
[java-add-graalvm-native-image-support] 📊 java-add-graalvm-native-image-support: 2,964 BPE tokens [chars/4: 3,228] (standard ~), 21 sections, 33 code blocks
[java-add-graalvm-native-image-support]    ⚠  Skill is 2,964 BPE tokens (chars/4 estimate: 3,228) — approaching "comprehensive" range where gains diminish.
[dotnet-mcp-builder] 📊 dotnet-mcp-builder: 1,639 BPE tokens [chars/4: 1,721] (detailed ✓), 7 sections, 1 code blocks
[sql-optimization] 📊 sql-optimization: 2,212 BPE tokens [chars/4: 2,298] (detailed ✓), 28 sections, 14 code blocks
[eval-driven-dev] 📊 eval-driven-dev: 3,877 BPE tokens [chars/4: 4,434] (standard ~), 16 sections, 1 code blocks
[eval-driven-dev]    ⚠  Skill is 3,877 BPE tokens (chars/4 estimate: 4,434) — approaching "comprehensive" range where gains diminish.
[eval-driven-dev]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[harness-engineering] 📊 harness-engineering: 1,605 BPE tokens [chars/4: 1,971] (detailed ✓), 18 sections, 3 code blocks
[breakdown-test] 📊 breakdown-test: 3,102 BPE tokens [chars/4: 3,741] (standard ~), 59 sections, 3 code blocks
[breakdown-test]    ⚠  Skill is 3,102 BPE tokens (chars/4 estimate: 3,741) — approaching "comprehensive" range where gains diminish.
[slang-shader-engineer] 📊 slang-shader-engineer: 1,587 BPE tokens [chars/4: 1,804] (detailed ✓), 8 sections, 1 code blocks
[markdown-to-html] 📊 markdown-to-html: 6,711 BPE tokens [chars/4: 6,151] (comprehensive ✗), 100 sections, 50 code blocks
[markdown-to-html]    ⚠  Skill is 6,711 BPE tokens (chars/4 estimate: 6,151) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[markdown-to-html]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[github-issues] 📊 github-issues: 1,951 BPE tokens [chars/4: 2,035] (detailed ✓), 22 sections, 6 code blocks
[azure-deployment-preflight] 📊 azure-deployment-preflight: 1,759 BPE tokens [chars/4: 1,870] (detailed ✓), 19 sections, 6 code blocks
[code-tour] 📊 code-tour: 5,620 BPE tokens [chars/4: 5,617] (comprehensive ✗), 28 sections, 5 code blocks
[code-tour]    ⚠  Skill is 5,620 BPE tokens (chars/4 estimate: 5,617) — "comprehensive" skills hurt performance by 2.9pp on average. Consider splitting into 2–3 focused skills.
[sponsor-finder] 📊 sponsor-finder: 3,085 BPE tokens [chars/4: 2,991] (standard ~), 25 sections, 6 code blocks
[sponsor-finder]    ⚠  Skill is 3,085 BPE tokens (chars/4 estimate: 2,991) — approaching "comprehensive" range where gains diminish.
[plantuml-ascii] 📊 plantuml-ascii: 1,612 BPE tokens [chars/4: 1,489] (detailed ✓), 36 sections, 15 code blocks
[create-architectural-decision-record] 📊 create-architectural-decision-record: 690 BPE tokens [chars/4: 766] (detailed ✓), 17 sections, 1 code blocks
[create-architectural-decision-record]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[pdftk-server] 📊 pdftk-server: 1,152 BPE tokens [chars/4: 1,186] (detailed ✓), 19 sections, 14 code blocks
[pdftk-server]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[aws-cdk-python-setup] 📊 aws-cdk-python-setup: 607 BPE tokens [chars/4: 650] (detailed ✓), 18 sections, 8 code blocks
[aws-cdk-python-setup]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[performance-review-writer] 📊 performance-review-writer: 1,963 BPE tokens [chars/4: 2,190] (detailed ✓), 36 sections, 3 code blocks
[nano-banana-pro-openrouter] 📊 nano-banana-pro-openrouter: 673 BPE tokens [chars/4: 664] (detailed ✓), 9 sections, 3 code blocks
[nano-banana-pro-openrouter]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[reviewing-oracle-to-postgres-migration] 📊 reviewing-oracle-to-postgres-migration: 605 BPE tokens [chars/4: 762] (detailed ✓), 5 sections, 2 code blocks
[breakdown-epic-arch] 📊 breakdown-epic-arch: 601 BPE tokens [chars/4: 712] (detailed ✓), 12 sections, 0 code blocks
[breakdown-epic-arch]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[breakdown-epic-arch]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[git-flow-branch-creator] 📊 git-flow-branch-creator: 2,629 BPE tokens [chars/4: 2,605] (standard ~), 10 sections, 9 code blocks
[git-flow-branch-creator]    ⚠  Skill is 2,629 BPE tokens (chars/4 estimate: 2,605) — approaching "comprehensive" range where gains diminish.
[import-infrastructure-as-code] 📊 import-infrastructure-as-code: 4,135 BPE tokens [chars/4: 4,680] (standard ~), 30 sections, 11 code blocks
[import-infrastructure-as-code]    ⚠  Skill is 4,135 BPE tokens (chars/4 estimate: 4,680) — approaching "comprehensive" range where gains diminish.
[structured-autonomy-generate] 📊 structured-autonomy-generate: 921 BPE tokens [chars/4: 1,033] (detailed ✓), 10 sections, 3 code blocks
[agentic-eval] 📊 agentic-eval: 1,358 BPE tokens [chars/4: 1,466] (detailed ✓), 16 sections, 8 code blocks
[agentic-eval]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[java-docs] 📊 java-docs: 316 BPE tokens [chars/4: 360] (compact ✓), 1 sections, 0 code blocks
[java-docs]    ⚠  No code blocks — agents perform better with concrete snippets and commands.
[java-docs]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[arize-annotation] 📊 arize-annotation: 2,528 BPE tokens [chars/4: 2,696] (standard ~), 27 sections, 15 code blocks
[arize-annotation]    ⚠  Skill is 2,528 BPE tokens (chars/4 estimate: 2,696) — approaching "comprehensive" range where gains diminish.
[arize-annotation]    ⚠  No numbered workflow steps — agents follow sequenced procedures more reliably.
[azure-role-selector] 📊 azure-role-selector: 198 BPE tokens [chars/4: 246] (compact ✓), 0 sections, 0 code blocks
[azure-role-selector]    ⚠  Skill is only 19

Who are you and what is this summary of which skills n where did u find them what do they mean